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AIM AHEAD Booklet

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Research Symposium AIM-AHEAD Leadership Core Southeast Hub at Meharry Medical College

Abstract Booklet March 26–27, 2026


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Table of Contents Program Agenda..................................................................................................................................... 3 Message from Hub MPI - Dr. Anil Shanker........................................................................................... 7 About the AIM-AHEAD Southeast Hub at Meharry Medical College.................................................. 8 A Brief History of Meharry Medical College...................................................................................... 11 Summary Index: Abstracts by Theme.................................................................................................. 13 AI-Driven Approaches to Population Health....................................................................................... 20 Cancer AI & Precision Oncology......................................................................................................... 29 Cardiovascular & Metabolic Health..................................................................................................... 43 Mental Health & Behavioral Informatics............................................................................................. 50 Privacy-Preserving AI & Secure Health Infrastructure........................................................................ 58 AI Education, Workforce & Community Engagement........................................................................ 65 Keynote Speaker Biographies.............................................................................................................. 74 AIM-AHEAD Southeast Hub Fellows & Project Awardees.................................................................81

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AIM-AHEAD Southeast Hub Research Symposium March 26–27, 2026 Henry A. Moses, Ph.D. Alumni Hall, Meharry Boulevard, Nashville, TN 37208

Thursday, March 26, 2026 Time

Program

4:30 PM

Registration Opens and Poster Setup

Opening Session 1: AI/ML-Driven Predictive Biology Time

Program

5:00–5:15 PM

Welcome and Opening Remarks — Anil Shanker, PhD, Senior Vice President for Research and Innovation, Meharry Medical College; NIH AIM-AHEAD Leadership Core Southeast Hub MPI

5:15–7:30 PM

Reception and Poster Session

5:45–6:00 PM

Salvador Gonzalez Ochoa, PhD, Meharry Medical College — NK Codex: An AI-Driven Multiscale Framework for Predictive Natural Killer Cell Biology

6:00–6:30 PM

Virtual Presentations (Zoom) • Dyani Peterson, MS, Biomedical Data Science, Meharry Medical College; AIMAHEAD Awardee — Machine Learning for Autism Prediction: Leveraging Birth and Clinical Data to Improve Diagnostic Timeliness • Karlene Cunningham, PhD, HSP, PMH, AIM-AHEAD Awardee; Brody School of Medicine, East Carolina University — FLOURISHING in ENC: Developing a Machine Learning Framework to Predict Perinatal Mental Health Treatment Needs in a Rural Healthcare System

6:30–7:30 pm

Networking and Poster Session

__________________________________________________________________________________________

THE OFFICE FOR RESEARCH AND INNOVATION AT MEHARRY MEDICAL COLLEGE 1005 Dr. D.B. Todd Jr. Boulevard, Nashville, Tennessee 37208-3501

AIM-AHEAD Southeast Hub | NIH Agreement No: 10T20D032581

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riday, March 27, 2026 Time

Program

8:00– :00 AM

Registration Opens

8:00– :00 AM

Breakfast, Networking and Poster Session

8:45–9:00 AM

Welcome and Opening Remarks — Aramandla Ramesh, PhD, Associate Vice President for Research and Innovation, Meharry Medical College

Session 2: Keynote

Compliant Data Sharing Net orks

9:00– :05 AM

Introduction of the keynote speaker

9:05– :45 AM

Na ar Shara, PhD, ounding Co-Director, AI CoLab; Chief, Research Data Science, MedStar Health Research Institute; NIH AIM-AHEAD Data and Research Core MPI — Keynote Lecture: Beyond the Null Hypothesis: The Epistemological Shift to AI-Ena led Biomedical Discovery

9:45–10:05 AM

A and Panel Discussion: Building Compliant AIM-AHEAD Data Sharing Networks Panelists — Ra bir Singh, MBBS, Director, AIM-AHEAD Regulatory Compliance O ice, Meharry Medical College; Na ar Shara, PhD; Sara Stienecker, MS, MBA; and Prabh eet Singh, BDS, MSPH, MedStar Health Research Institute Moderator — Aramandla Ramesh, PhD, Associate Vice President for Research and Innovation, Meharry Medical College

Session 3: AI Systems, Privacy, and Scalable Health In rastructure Time

Program

10:05–10: 0 AM

Mert Sekmen, PhD, and Tianyuan ao, PhD, AIM AHEAD Awardees, Pangea LLC — Privacy-Preserving Federated Learning for Chronic Disease Risk Prediction in Community Health Settings

10:20–10:35 AM

Divine- avour Anene, PhD, Meharry Medical College — Leveraging Arti cial Intelligence for Predictive In ury Surveillance in arehouse and Logistics orkers: A Literature Review and E uity-Centered Framework

10:35–10:50 AM

ttam Ghosh, PhD, Meharry Medical College — Cy er Security in the Age of Medical AI

10:50–11:00 AM

Co ee break

__________________________________________________________________________________________

THE OFFICE FOR RESEARCH AND INNOVATION AT MEHARRY MEDICAL COLLEGE 1005 Dr. D.B. Todd Jr. Boulevard, Nashville, Tennessee 37208-3501

AIM-AHEAD Southeast Hub | NIH Agreement No: 10T20D032581

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Session : AI-Enabled Therapeutics and Interventions Time

Program

11:00–11:15 AM

apianey Ale andre, PhD Candidate, Meharry Medical College — Interpreta le Machine Learning Decodes Multiscale Fractal-Spectral Signatures of Pathological Angiogenesis in Ischemic Retinopathy

11:15–11:30 AM

udith Dike, Meharry Medical College — Cardiometa olic Risk Among Reproductive-Age omen with Hormonal Contraceptive Use: A Multi-Model Analysis of the NIH All of Us Research Program

11:30–11:45 AM

Vibhuti Gupta, PhD, Department of Biostatistics and Data Science, he University of e as Medical Branch, AIM AHEAD Awardee — A Novel Generali a le Approach to Integrate Multimodal Data for Prostate Cancer

Session 5: Lunch and Brainstorming 11:45–1:15 PM

Lunch, Networking and Poster Session

11:45 1 : 5 PM

AIM-AHEAD Southeast Hub A ardees: Meharry Campus Tour

12:25–1: 5 PM

AIM-AHEAD Southeast Hub A ardees: Lunch and Brainstorming Session —Future of AI ML Colla orative OfRI Conference Room 011, WBSB

Session 6: AI or Public Health, Risk Modeling, and Policy Time

Program

1:30–1:45 PM

1:45– :00 PM

2:00– :15 PM

oomi Kim, he University of Memphis, AIM AHEAD Awardee — Prescription Fre uency as a Non-Linear Predictor of Opioid Dependence: A Machine Learning Survival Analysis Integrating Socioeconomic Indicators Ashutosh Singhal, Meharry Medical College — Developing an Ethical AI Framework to Advance Health Outcomes at Meharry Charles Moore, PhD, Meharry Medical College, AIM AHEAD Awardee — A Novel E icient and Scala le Approach to Process Large-Scale Histopathology Data for Prostate Cancer

__________________________________________________________________________________________

THE OFFICE FOR RESEARCH AND INNOVATION AT MEHARRY MEDICAL COLLEGE 1005 Dr. D.B. Todd Jr. Boulevard, Nashville, Tennessee 37208-3501

AIM-AHEAD Southeast Hub | NIH Agreement No: 10T20D032581

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Session 7: Keynote

Trust orthy AI Tools

2:15–2: 0 PM

Introduction of the Keynote Speaker

2:20–3:00 PM

Dipankar Dasgupta, PhD, IEEE, AIIA, and NAI ello , he University of Memphis — Keynote Lecture: Need for Trustworthy AI Tools in Healthcare

3:00–3:15 PM 3:15–3: 5 PM

A Co ee break

Session 8: Cognitive and Human-Centered AI Models Addressing Biological Heterogeneity Time

Program

3:30–3:45 PM

u Liang, PhD, he University of ennessee at Chattanooga, AIM AHEAD Awardee — Multimodal Large Language Model–Ena led Music Therapy for Anxiety Management

3:45–4:00 PM

ingguo ang, PhD, Director, enomics Data Core, Meharry Medical College; AIM-AHEAD Southeast Hub Co I — Large Language Model for Melanoma Detection

4:00–4:15 PM

Harshana Ra akaruna, PhD, Meharry Medical College, AIM-AHEAD Southeast Hub Data Scientist — The Hy rid Advantage in Cancer Immunotherapy: Com ining Mechanistic Models and Machine Learning for Ro ust Personali ed Treatment Under Biological Heterogeneity and Policy Shift

Session : K-12 AI Education Time

Program

4:15–4:30 PM

Greg Tardieu, EdD, Manager of rants and Partnerships, Community Partnerships and Engagement, Ale andria City Public Schools Data, AIM AHEAD Awardee — Data Detectives: Empowering Middle School Students and Teachers to Advance Health Outcomes Through Big Data

4:30–4:45 PM

Demonstration of Learning ools

4:45–5:00 PM Vote of hanks and Closing Remarks

__________________________________________________________________________________________

THE OFFICE FOR RESEARCH AND INNOVATION AT MEHARRY MEDICAL COLLEGE 1005 Dr. D.B. Todd Jr. Boulevard, Nashville, Tennessee 37208-3501

AIM-AHEAD Southeast Hub | NIH Agreement No: 10T20D032581

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

A Message from the AIM-AHEAD Southeast Hub MPI

Dear Colleagues, Partners, and Friends, I welcome you to the AIM-AHEAD Southeast Hub Research Symposium at Meharry Medical College. This gathering celebrates what our investigators and partners have accomplished and what sustained investment in people, data, technology, trusted partnerships, and scientific capacity has made possible Over the past several years, the Southeast Hub has grown into a regional ecosystem spanning Arkansas, Illinois, Indiana, Kentucky, Michigan, Missouri, North Carolina, Ohio, Tennessee, Virginia, and West Virginia. Our network encompasses more than 90 minority-serving institutions, 141 community organizations, 38 industry partners, and 1,400 healthcare partners, with 1,421 stakeholders connected through AIM-AHEAD Connect as of 2025. This reach has translated into measurable productivity. From 2022 through 2026, the Hub supported the development of 81 project proposals, 36 of which received funding. Twenty-one Research and Leadership Fellows completed training, and >1,000 participants engaged in Hub-supported webinars, workshops, and listening sessions. These investments have produced peer-reviewed publications, presentations, new collaborations, and a growing workforce advancing AI/ML-enabled biomedical and health research. The science represented in the symposium signals the next stage. Investigators are moving beyond AI readiness toward AI-enabled predictive biology, precision therapeutics, biological heterogeneity, multimodal and mechanistic modeling, compliant data-sharing networks and infrastructure, trustworthy AI, population health, human-centered implementation, and K–12 AI education. As we look toward AIM-AHEAD Phase 2, the Southeast Hub is well positioned to scale this foundation by connecting our regional capacity with biological discovery—integrating AI/ML, genomics, multimodal data, mechanistic science, clinical knowledge, and community insight to develop predictive and actionable models of human health and disease. Our aim is to broaden participation in AI-enabled research across investigators and institutions throughout the Southeast, generating consequential science, building durable research capability, and translating discovery into better health outcomes. Meharry's role as the Southeast Hub reflects our longstanding mission of education, scientific discovery, and service to humanity. We are proud to serve as a convener while helping build the people, platforms, partnerships, and trusted research environments needed for the next generation of biomedical AI. I thank our investigators, trainees, mentors, community collaborators, institutional partners, NIH colleagues, and the entire AIM-AHEAD Consortium for making this progress possible. The work presented demonstrates what this network has achieved—and the scientific potential now ready to be carried forward. The foundation is in place. The next opportunity is to transform this capacity into a connected engine of AI-enabled biological discovery, translation, and health impact. Forever on the Path,

Anil Shanker, M.S., Ph.D. Senior Vice President for Research and Innovation Professor of Biochemistry, Cancer Biology, Neuroscience, and Pharmacology Meharry Medical College

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Abstract Booklet

Abo t the A M A

AIM-AHEAD Southeast MMC Hub Symposium

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he AIM-AHEAD Southeast Hub le by Meharry Me ical Colle e MMC ser es as a re io al coor i ati ce ter or a a ci arti cial i telli e ce a machi e lear i AI M capacity ork orce e elopme t a collaborati e health research across the Southeast Hub re io he Hub supports the broa er AIM-AHEAD i itiati e by e pa i participatio i AI M - ri e health research a stre the i part erships amo aca emic i stitutio s healthcare systems commu ity or a i atio s a i ustry part ers he Hub s ork ocuses o our primary oals recruiti a coor i ati a co sortium o i stitutio s a or a i atio s commi e to buil i a AI M ork orce mo itori eli erables o Hub pro ects a sub-a ar s to support capacity buil i pilot stu ies a collaborati e research e ha ci AI M capacity throu h trai i orkshops ebi ars a commu ity e a eme t a collaborati ith the ce tral Hub at the i ersity o orth e as Health Scie ce Ce ter a other AIM-AHEAD cores to meet pro ram milesto es acilitate truste part erships a respo e ecti ely to emer i opportu ities

he Southeast Hub co ers states e essee Arka sas Missouri e tucky Illi ois I ia a Michi a hio est ir i ia ir i ia a orth Caroli a Across this re io the Hub co e es a broa et ork that i clu es more tha mi ority-ser i i stitutio s i clu i HBC s HSIs BIs AA A ISIs A Hs a AS Is commu ity or a i atio s i ustry part ers a more tha healthcare part ers As o September stakehol ers rom all Hub states ere co ecte throu h the AIM-AHEAD Co ect portal he Hub is le by Dr A il Sha ker hD Multiple ri cipal I esti ator to ether ith a lea ership team that i clu es Co-I esti ators Dr i uo a hD a Dr a bir Si h MBBS rom to the Hub supporte the e elopme t o pro ect proposals ith recei i u i

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

throu h pro rams such as HS CD ea ership ello s complete trai i sessio s a orkshops

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Hub-supporte pro ects ha e e erate peer-re ie e publicatio s co ere ce prese tatio s a e collaborati e research part erships across aca emic commu ity healthcare a i ustry se i s hrou h these e orts the AIM-AHEAD Southeast Hub at Meharry Me ical Colle e stre the s i stitutio al capacity supports emer i i esti ators e pa s AI M ork orce e elopme t a buil s truste part erships that co ects ata scie ce i o atio ith the health ee s o i erse commu ities AIM-AHEAD Southeast MMC Hub Team, 2026

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A l ha ker, h Se ior ice resi e t or esearch a I o atio ro essor o Biochemistry Ca cer Biolo y euroscie ce a harmacolo y Meharry Me ical Colle e Multiple ri cipal I esti ator AIM-AHEAD Southeast MMC Hub

Si ce Dr A il Sha ker has e pa e Meharry s tri-sector u i base a collaborati e et orks more tha our ol He has or e missio -ali e allia ces ith the IH S ma or ou atio s a biopharmaceutical part ers helpi mo e pro rams rom co cept to e ecutio a stre the i Meharry s tra slatio al research e terprise Dr Sha ker also co tributes to atio al research strate y throu h ser ice o the atio al Aca emies Boar o Health Scie ces olicy a the AAMC esearch A a ceme t a De elopme t Steeri Commi ee He is a erseas ello o the oyal Society o Me ici e i the ite i om a a ello o the I ter atio al io A ai st Ca cer roles throu h hich he helps ui e lobal scie ti c part erships ith more tha three eca es o e perie ce across three co ti e ts as a scie tist e ucator a me tor Dr Sha ker s ork is rou e i ca cer immu olo y lea ership e elopme t a i stitutio al capacity buil i He has me tore more tha emer i lea ers a has helpe buil cultures o e celle ce i te rity a e ecutio a a ci AI-e able tra slatio al research e i es esi e to impro e health across all populatio s

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Qingguo Wang, PhD Professor of Computer Science Director, enomics Core Meharry Medical College Co-Investigator, AIM-AHEAD Southeast MMC Hub Dr. Qingguo Wang is a Co-Investigator for the AIM-AHEAD Southeast Hub and serves as Professor of Computer Science and Director of the enomics Core at Meharry Medical College. His work with AIM-AHEAD centers on outreach, needs assessment, community engagement, and data science capacity building. Dr. Wang collaborates with the program s functional cores to support training opportunities, Hub workshops, webinars, and scientific activities. By connecting individuals and organi ations with AIM-AHEAD resources and expertise, he helps expand access to AI M training and supports the scientific progress of Hub-supported projects. Rajbir Singh, MBBS Associate Professor of Internal Medicine Executive Director, Center of Excellence for Clinical and Translational esearch Meharry Medical College Co-Investigator, AIM-AHEAD Southeast MMC Hub Director, egulatory Compliance Office, AIM-AHEAD Consortium Dr. Rajbir Singh is a Co-Investigator for the AIM-AHEAD Southeast Hub, Associate Professor of Internal Medicine, and Executive Director of the Center of Excellence for Clinical and Translational esearch at Meharry Medical College. He contributes a strong clinical and translational perspective to the Hub, supporting outreach, stakeholder engagement, training, and health-focused initiatives. Dr. Singh works across AIM-AHEAD s functional cores to help connect communities with consortium resources and assess the impact of Hub-supported projects. He also serves as Director of the egulatory Compliance Office for the AIM-AHEAD Consortium, providing important leadership in the responsible and compliant advancement of program activities. Harshana Rajakaruna, PhD Program Data Analyst AIM-AHEAD Southeast MMC Hub Meharry Medical College Program for AI eadiness PAI Contributor Dr. Harshana Rajakaruna serves as Program Data Analyst for the AIM-AHEAD Southeast Hub, supporting data science initiatives and the scientific progress of Hub-supported projects. He collaborates with AIM-AHEAD functional cores on initiatives which helps resource-limited organi ations strengthen their capacity for real-world AI implementation and health-focused data analytics. Dr. ajakaruna coordinates stakeholder data science needs, supports research projects, and works with Hub leadership to track scientific outcomes, timelines, and progress. He also contributes to scientific reporting, helping translate the Hub s activities and accomplishments into measurable outcomes.

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Abstract Booklet

A Br e

AIM-AHEAD Southeast MMC Hub Symposium

stor o Meharr Me cal olle e

For 150 years, M harr M i a o g has advanced education, scientific discovery, clinical excellence, and service to humanity. Established in ashville in 1876, Meharry was founded during a period of urgent public health need and rapidly became an important center for medical education and research. Its beginnings were made possible through the support of the five Meharry brothers and the Freedman s Aid Society, establishing a strong tradition of service, scholarship, and professional training. Throughout its history, Meharry has been shaped by pioneering physicians and scientists. In 1893, Dr. orgianna s r Pa on became the first Black woman to graduate from Meharry Medical College and to receive a license to practice medicine and surgery in Tennessee. Meharry physician Dr. r hur M in o ns n later conducted important research showing that pellagra was a nutritional disorder associated with niacin deficiency, contributing to a stronger scientific understanding of the disease. Meharry s national influence grew through its commitment to educating physicians, dentists, and biomedical scientists. Over the decades, its graduates have strengthened the health professions workforce and contributed to clinical care, research, education, and public health across the country. The establishment of the S hoo o ra ua S u i s in further expanded the College s scientific mission and created new opportunities for advanced biomedical research and interdisciplinary collaboration. A major period of research growth began under Dr. Haro D. W s , who became Meharry s first Black president in 1952. A distinguished biochemist and researcher, Dr. West expanded the College s research infrastructure, increased sponsored research support, and strengthened programs in cancer biology, metabolism, nutrition, and the basic sciences. The 1970s brought another period of scientific expansion under President o . a . Meharry gained authority to confer Ph.D. degrees in biomedical sciences, received major IH support, and recruited accomplished faculty in biochemistry, genetics, molecular biology, neuroscience, immunobiology, and related fields. This era helped establish a strong foundation for interdisciplinary research and future scientific growth. Meharry also broadened its impact through programs in maternal and child health, sickle cell disease, cardiovascular medicine, neuroscience, pharmacology, infectious diseases, and clinical research. These efforts connected laboratory discovery with patient care, workforce development, and public health practice. From its founding in 1876 to its development as a nationally recogni ed academic health sciences institution, Meharry Medical College has built a lasting legacy of u a ion, r s ar h, inno a ion, a rshi , an s r i . Across generations, its faculty, students, clinicians, and scientists have contributed to major advances in medicine and biomedical science while continuing to shape the future of human health. 11


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Symposium AbstractsOral & Poster Presentations

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Abstract Booklet

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AIM-AHEAD Southeast MMC Hub Symposium

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atural as I rastructure Social ul erability a Health Scale Spatial A alysis Autho s ictoria o e ra kli ∗ Dr Subash eupa e† A at o Meharry Me ical Colle e

utcomes i Cali or ia A Multi20

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6

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7 I terpretable Machi e ear i Deco es Multiscale ractal-Spectral Si atures o atholo ical A io e esis i Ischemic eti opathy 26 Autho s apia ey Ale a re∗ Aleah Brokemo a ira si h a e a amela M Marti A il Sha ker Harsha a a akaru a† Me aka C hou ao am† A at o Meharry Me ical Colle e A o el E cie t a Scalable Approach to rocess ar e-Scale Histopatholo y Data or rostate Ca cer 27 Autho s Charles Moore∗ Subash eupa e he ba Che ub a i ky ibhuti upta Suresh Bha a i ha ei a oupi De A at o s Meharry Me ical Colle e MB i ersity o Ha aii A

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Autho s Subash eupa e∗ Charles Moore he ba Che ub a i ky Suresh Bha a i ha ei a oupi De A at o s Meharry Me ical Colle e MB i ersity o Ha aii

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0 Deco i the leaso Score A Hybri Machi e ear i rame ork e era i D A Embe i s a ra scriptomic Biomarkers ark Autho s Dr Hire ra ath Ba er ee∗ Dr Sachi She y Dr Soumya Ba er ee Dr o Dr ul eep a at† A at o s Eli abeth City State i ersity D Mo Hybri ua tum Classical Machi e ear i or re icti Sur i al utcomes i riple- e ati e Breast Ca cer si SEE Data Autho s acly Claibor e∗ e icka or oo Dr ushpita Cha er ee† A at o Meharry Me ical Colle e 2 Multi-Source obust Deep Sur i al Mo eli or riple- e ati e Breast Ca cer A E plai able rame ork I te rati SEE MIMIC-I a C A-B CA Autho s e icka or oo ∗ acly Claibor e Dr ushpita Cha er ee† A at o Meharry Me ical Colle e ra scriptomic Si atures o Metabolic ra sitio I e ti yi the Molecular S itch rom besity to ype Diabetes Autho s Ebo y eems- luremi h D ∗ Dr o ary A at o Meharry Me ical Colle e he Hybri A a ta e i Ca cer Immu otherapy Combi i Mecha istic Mo els a Machi e ear i or obust erso ali e reatme t er Biolo ical Hetero e eity a olicy Shi t a e Autho s Harsha a a akaru a∗ ha i ai ela a a asabai Sal a or o ale choa i - uo a A il Sha ker† A at o Meharry Me ical Colle e

E aluati - or Mela oma Detectio si Dermoscopic Ima es Autho s i uo a ∗† Ihu a Amu o Harsha a a akaru a Maria oh so Iru ayam Hua ie A il Sha ker Samuel A u yah A at o Meharry Me ical Colle e 6

Co e A AI-Dri e Multiscale rame ork or re icti e atural iller Cell Biolo y Aksu Harsha a a akaru a ara a ise y Autho s Sal a or o ale choa∗ Meti E ar Hu hes Mu a A Mohamme a e o ello ha i ai ela a a asabai Alla I a o a A il Sha ker† A at o Meharry Me ical Colle e

7 Machi e ear i Dri e Mo eli o i a eceptor et orks i CD Cell E haustio Autho s ha i ai ela a a asabai∗ Harsha a a akaru a Sal a or o ale choa Mu a A Mohamme a e o ello Maria- oh so Iruthayam i a Alla I a o a A il

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Sha ker† A at o Meharry Me ical Colle e

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Causal M or Sy emic isk ua ti catio a Impact orecasti Autho s Dr Ebelechuk u Mo o∗ Dr ames Baurley A at o s E IM Co sulti C Bio ealm C

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Car iometabolic isk Amo epro ucti e A e ome ith Hormo al Co tracepti e A Multi-Mo el A alysis o the IH All o s esearch ro ram Autho s u ith Dike∗ Ai e Cao† A at o Meharry Me ical Colle e

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ISHI i E C De elopi a Machi e ear i rame ork to re ict eri atal Me tal Health reatme t ee s i a ural Healthcare System Autho s arle e Cu i ham∗† ale ti a Mar i ea Christopher E a s ay Hylock A at o s Bro y School o Me ici e at East Caroli a i ersity EC Health

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Machi e ear i or Autism re ictio Impro e Dia ostic imeli ess Autho s Dya i eterso ∗† A at o Meharry Me ical Colle e

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LLM- e erate Summaries i Critical


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

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Data Detecti es Empo eri Mi le School Stu e ts a eachers to E plore Health utcome ariatio hrou h Bi Data Autho s Dr re ar ieu∗ Dr i a a i Dr oh ra is Ms elly Brock ay A at o s Ale a ria City ublic Schools eor e ashi to i ersity ir i ia State i ersity 2

ear i a Applyi AI Metho s to ublic Health Data e hilip Ma eslie ise Me a och ori ost Sarah Autho s Marya Maso ∗ i elch i ua iu A at o s orth ester i ersity eor e ashi to i ersity Illi ois Departme t o ublic Health Har essi the o er o AI to Dri e er ose re e tio or l er A ults i ublic Health ost Sarah elch i ua iu Se i s a Systems Autho s Marya Maso ∗ or A hilip MA Me a och eslie ise i e † A at o s orth ester i ersity Illi ois Departme t o ublic Health eor e ashi to i ersity

ait a er s as Early I si e erati e AI

icators o

eurolo ical Co

16

itio s A Sy thetic

ait i eo Dataset


Abstract Booklet Autho s lu atomisi A at o Marymou t

AIM-AHEAD Southeast MMC Hub Symposium i amo ore a∗ Dr ulie D i ersity

ies Dr

atha

ree †

I te rati Cli ical re icti e Mo eli a Ima e-Base A alysis to I e ti y Bo e Health Complicatio s i Bur atie ts hairi Autho s Dr a orchia Da is∗ Dr a irah Moh A at o Meharry Me ical Colle e 6

e ie o E perime tal a Cli ical Stu ies o Bo i e etal Colla e Applicatio Clau y Sarpo Barite Autho s Mehul Satish rabha∗ or a oh so Da iella i utama ra kli er ou is Emma uel ia as achel al e illiam C i ea ea er† A at o a erbilt i ersity

7

Establishi e ulatory Complia ce ce a its impact i AIM-AHEAD multi-i stitutio al AI M research co sortium Authors: aish a i Sa alkar oh ies essica yo s Sara Stie ecker Dr iya Basha illiam A i ock Dr a bir Si h A at o Meharry Me ical Colle e A I o ati e e ulatory Complia ce ce Mo el a its impact i AIM-AHEAD multi-or a i atio al AI M research co sortium Authors: aish a i Sa alkar oh ies essica yo s Sara Stie ecker Dr iya Basha illiam A i ock Dr a bir Si h A at o Meharry Me ical Colle e

ote

i

icates prese ti

author

†i

icates correspo

i

author s


18


AIM-AHEAD Southeast Hub gathers at the Meharry Medical College to connect, collaborate, and advance health innovation.


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

AI- ri en Approac es to Population ealt


Abstract Booklet e era o st cs

Art c al orkers A

AIM-AHEAD Southeast MMC Hub Symposium tell e ce or re ct e r terat re e e a ork orce

r e lla ce areho se a ealth ra e ork

A thors Di i e- a our A e e ∗ A l at o s Meharry Me ical Colle e b ect e his re ie sy thesi es e i e ce o AI M applicatio s or pre icti orkplace i uries i arehouse se i s i e ti es aps i ho curre t mo els a ress ariatio i health outcomes a proposes a robust rame ork SA E-AI Sur eilla ce Al orithmic air ess ro tli e i te ratio E uitable outcomes throu h AI or occupatio al me ici e impleme tatio Metho s A structure arrati e re ie as co ucte usi ubMe Scopus a IEEE plore or articles publishe bet ee Search terms combi e machi e lear i occupatio al i ury pre icti e a alytics arehouse a health outcomes Stu ies ere e aluate or mo el per orma ce metho olo ical ri or a i clusio o populatio -le el ariables es lts hree omi a t AI applicatio omai s emer e pre icti e risk scori usi SHA i ci e t ata a ork orce emo raphics earable se sor a alytics or etecti er o omic ha ar s a ati ue a computer isio or automate beha ioral sa ety mo itori a om orest a e semble metho s emo strate stro i ury se erity classi catio ith ature o i ury e posure type a a ecte bo y part as top pre icti e eatures earable-AI i ter e tio s ha e achie e er o omic i ury re uctio s o up to i pilot se i s Ho e er e er tha o stu ies i corporate key populatio escriptors as a alytic ariables o cl s o s act AI- ri e pre icti e sur eilla ce hol s tra s ormati e pote tial or occupatio al me ici e but risks perpetuati aps i health outcomes ithout a e tio to ork orce represe tatio he propose SA E-AI rame ork pro i es a structure approach or impleme ti robust a co siste t AI tools his ali s irectly ith AIM-AHEAD s priorities o a a ci AI M hile e suri allcommu ities be e t rom these i o atio s e or s arti cial i telli e ce machi e lear i orkers pre icti e a alytics

∗

rese ter

rese ter Di i e- a our A e e

occupatio al i ury pre ictio

al

a e

arehouse

mmc e u


Abstract Booklet at ral as M lt cale

AIM-AHEAD Southeast MMC Hub Symposium

rastr ct re, oc al at al A al s s

l erab l t , a

A thors ictoria o e ra kli ∗ Dr Subash A l at o s Meharry Me ical Colle e

ealth

tco es

al or a A

eupa e†

b ect e o etermi e hether Cali or ia commu ities ear atural as po er pla ts ace isproportio ate respiratory a heat ill ess bur e s a hether those bur e s are co ce trate i state-Desi ate Area Classi catio s DACs as e e by composite scree i threshol s usi computatio al spatial metho s applie to se e publicly a ailable e eral a state atasets across ce sus tracts a cou ties Metho s Se e atasets ere i te rate E A e ID CalE iroScree CDC A SD Social ul erability I e ACS emo raphics Cali or ia CHHS health i icators D E EA E-I outa e ata a C C S S e e t lo s he c D ree earest- ei hbor spatial i e i compute pro imity rom each o ce sus tract ce troi s to pla ts A I erse Dista ce ei hte ID co ti uous e posure score as co structe as the sum o each pla t s C emissio s ei hte by ista ce-s uare capturi emissio ma itu e a pro imity ra ie t simulta eously Statistical a alyses i clu e chi-s uare i epe e ce tests Ma - hit ey tests earso correlatio S re ressio a bu er se siti ity testi across km threshol s ith Bo erro i alpha te -test amily a Be ami i-Hochber D multiple-testi correctio s applie throu hout All a alyses ere restricte to the o erlap perio to e sure temporal ali me t bet ee e ID a CHHS ata es lts DAC tracts ere times more likely to all ithi km o a pla t tha o -DAC tracts chi-s uare p ith o DAC tracts ersus o o -DAC tracts i si e the bu er Composite risk i e actors stro ly pre icte cumulati e pollutio bur e r p as i mi ority populatio share r a me ia househol i come r all sur i i Bo erro i correctio pla t pro imity alo e i ot i epe e tly pre ict respiratory bur e a ter Bo erro i correctio he DAC pro imity a a ta e as stable across all teste bu er threshol s km a all si primary hypotheses sur i e both Bo erro i a Be ami i-Hochber correctio A scale-compariso a alysis emo strate that cou ty-le el a re atio systematically maske the tract-le el DAC-by-pro imity bur e pa er o cl s o s act Structural e iro me tal a eco omic ra ie ts ot pro imity alo e are the omi a t pre ictors o cumulati e e iro me tal health bur e i Cali or ia DAC commu ities ace compou e e ects they are both more likely to be site ear i rastructure a more susceptible to its health co se ue ces ue to u erlyi composite risk actors hese i s irectly support three Cali or ia policy actio s e pa e M a mo itori i DAC bu er o es u er AB i te ratio o pro imity i to C C S S pro ram re ie s a i corporatio o pro imity- ei hte emissio loa s i to uture CalE iro-Scree DAC esi atio s he computatio al spatial pipeli e emo strate here is repro ucible a e erali able to a y state ith a alo ous e iro me tal ustice health a e er y i rastructure ata e or s e iro me tal health i ormatics spatial ata scie ce e er y ustice CalE iroScree air uality public health ∗

rese ter † Correspo i author rese ter ictoria o e ra kli orres o A thor Dr Subash

eupa e

atural as

a l ictoria ra kli mmc e u a l subash eupa e mmc e u


Abstract Booklet est at rastr ct re B er o ro th o t es th

AIM-AHEAD Southeast MMC Hub Symposium o the a so

A thors Desti y ou s ∗ ayli Dyso A l at o s Meharry Me ical Colle e

ealth o t ,

Sa e

acts o

co o

c

sec r t

ra es Ai e Cao†

b ect e o i esti ate the i ue ce o broa ba access a commute time o the relatio ship bet ee eco omic i security a healthcare bur e i Da i so Cou ty Metho s e co ucte a cross-sectio al a alysis o ce sus tracts i Da i so Cou ty e essee Data ere source rom the America Commu ity Sur ey CDC ACES a the I clusi e ro th Score I S atabase o -I S tracts ere e e as I S score as be chmarke by state a era es Eco omic i security as a composite o po erty rate u employme t a lo i come healthcare bur e combi e u i sure status a chro ic isease pre ale ce he i teractio bet ee i rastructure a eco omic i security as teste usi a re ressio a alysis es lts I lo -I S tracts broa ba access βeco i s×broa − . ,p . a commute time βeco i s×comm − . ,p . i teracti ith eco omic i security as si i ca tly associate ith the pre ictio o healthcare bur e he mo el re eale that at hi h broa ba le els the e ect o eco omic i security as re uce o si i ca t i teractio as obser e or o er-occupie housi a these e ects ere abse t i the ull sample o all Da i so Cou ty tracts o cl s o s act Broa ba a tra sportatio i rastructure appear to be si i ca t bu ers a ai st the health co se ue ces o eco omic i security i areas ith lo i clusi e ro th I estme ts i i ital a tra sportatio i rastructure may represe t a promisi strate y or re uci ariatio i health outcomes i eco omically co strai e areas e or s Health outcomes eco omic i security broa ba ro th scores

∗

access commute time i clusi e

rese ter

†Correspo

orres o

i

author rese ter Desti y ou A thor Ai e Cao

s

a l pou s mmc e u a l acao mmc e u


Abstract Booklet A Ass ste la o cat o

AIM-AHEAD Southeast MMC Hub Symposium a

a e

t

at o

or hro c

sease

a

at o a

tal

ealth

a soo Im† A thors Sierra Bir so ∗ A l at o s Meharry Me ical Colle e b ect e his pilot impleme tatio stu y e aluates hether AI-assiste plai -la ua e optimi atio o chro ic isease e ucatio materials combi e ith structure i ital health commu icatio support impro es patie t comprehe sio i ital a i atio per orma ce a healthcare e a eme t amo a ults ma a i chro ic co itio s i a Souther urba commu ity Metho s si a mi e -metho s impleme tatio scie ce esi the i ter e tio ill be co ucte i orth Hu ts ille Alabama AI-e able tools ill be use to re ise chro ic isease e ucatio a co se t materials ollo e by commu ity-embe e health commu icatio sessio s a i ital a i atio coachi ocuse o patie t portal a telehealth use Biome ical ata scie ce approaches i clu e computatio al rea ability mo eli ua titati e assessme t o i ital task per orma ce a statistical a alysis o pre- post-i ter e tio cha es i comprehe sio commu icatio co e ce a care-seeki beha iors Impleme tatio outcomes ill be e aluate usi the RE-AIM rame ork ualitati e i ter ie s ill e plore co te tual actors a ecti i ter e tio a optio a scalability es lts I itial impleme tatio metrics ill e aluate cha es i i terpretatio o biome ical i ormatio completio o i ital health tasks a commu icatio co e ce i chro ic isease ma a eme t Early easibility i icators ill i clu e participa t e a eme t acceptability o AI-optimi e materials a i ter e tio eli ery elity hese ata ill i orm estimatio o i ter e tio e ect si es a impleme tatio scalability o cl s o s act his stu y e erates early tra slatio al e i e ce o AI-e able health commu icatio strate ies to impro e chro ic isease care a i atio a i ital healthcare e a eme t i i s aim to i orm scalable biome ical ata scie ce approaches i te rati AI-optimi e commu icatio ith commu ity-base impleme tatio to a a ce co siste t healthcare eli ery e or s arti cial i telli e ce health commu icatio impleme tatio scie ce

∗

rese ter

†Correspo

orres o

i

author A thor

rese ter Sierra Bir so a soo Im

chro ic isease

i ital health literacy

a l sbir mmc e u a l im mmc e u


Abstract Booklet re ct a

et ealthcare la able A

AIM-AHEAD Southeast MMC Hub Symposium ee s A o

h l re

th A t s

s

Mach e ear

A thors Mia a ∗ Ai e Cao† A l at o s Meharry Me ical Colle e b ect e his stu y aims to e elop a compare machi e lear i mo els to pre ict u met healthcare ee s amo chil re ith ASD i e ti y key co tributi actors usi e plai able arti cial i telli e ce AI a e erate i si hts to support impro e healthcare access Metho s Data ere obtai e rom the atio al Sur ey o Chil re s Health SCH i clu i chil re ith autism across the ite States ariables i clu e emo raphic eco omic cli ical a healthcare access actors ith tailore preprocessi applie State i e ti ers ere e clu e rom mo el trai i to pre e t u a te mo el e ects but retai e or comparati e a alysis our mo els o istic e ressio a om orest Support ector Machi e S M a Boost ere impleme te a e aluate usi strati e cross- ali atio Class imbala ce as a resse usi class ei hti a ecisio threshol s ere optimi e er orma ce as assesse usi accuracy precisio recall -score a C-A C Mo el i terpretability as co ucte usi SHapley A iti e e la atio s SHA es lts

he tu e S M mo el achie e the best o erall per orma ce C-A C ith stro recall i icati a bala ce tra e-o bet ee se siti ity a precisio o istic e ressio pro i e a stro baseli e recall hile Boost achie e hi her recall up to or scree i a om orest aile to etect lo - re ue cy cases SHA a alysis i e ti e key pre ictors i clu i o erall health status me tal health co-morbi ities healthcare access i icators a cli ical a co te tual actors o cl s o s act Combi i machi e lear i ith e plai able AI e ecti ely i e ti es chil re ith ASD at risk o u met healthcare ee s a re eals key ri ers o outcome ariatio he tu e S M mo el is recomme e or bala ce pre ictio hile Boost supports hi h-recall scree i hese i s pro i e actio able ata- ri e i si hts to i orm tar ete i ter e tio s a impro e healthcare outcomes or chil re ith autism e

∗

or s Machi e ear i

E plai able AI Autism Spectrum Disor er Healthcare Access

rese ter

†Correspo

orres o

i

author rese ter Mia A thor Ai e Cao

a

a l mia pa mmc e u a l acao mmc e u


Abstract Booklet a t or

t

AIM-AHEAD Southeast MMC Hub Symposium

Ass ste ealth rastr ct re A Mach e ear Me cal et orks

ha ce

A A ra e ork

A thors e us Bri kley- app ∗ ushpita Cha er ee† A l at o s Meharry Me ical Colle e b ect e his research proposes a e aluates a Machi e ear i -E ha ce A A M A A rame ork as a u i e multi-scale pipeli e or health systems i rastructure optimi atio across our i terco ecte omai s eo raphic health outcome ariatio i e ti catio rural tele-health et ork esi me ical Io e ice ata routi a ru repurposi ca i ate selectio or resource-co strai e care e iro me ts Metho s he rame ork employs a our-phase pipeli e hase applies raph-base clusteri a Boost classi catio to CDC ACES H SA a S Ce sus SD H atasets to i e ti y a characteri e eo raphic clusters ith limite ser ice a ailability hase ormulates telehealth o e placeme t as a B acility locatio problem sol e ia A A ith M -pre icte circuit parameters hase e te s ali ate pe alty- ei hte B et ork routi ormulatio s to me ical Io topolo ies be chmarki appro imatio ratios a ai st classical sol ers hase applies A A to ru - isease k o le e raphs ei hte by treatme t accessibility metrics across patie t cohorts Boost-base parameter pre ictio mo els are e aluate across all our phases or cross- omai tra s erability es lts relimi ary a alysis o CDC ACES ata co rms si i ca t eospatial clusteri o healthcare access e cits i rural Souther cou ties B ormulatio or telehealth acility placeme t is i acti e e elopme t ull pipeli e e aluatio o simulate a real ua tum har are is pla e or Summer o cl s o s act his research i tro uces a u i e ua tum optimi atio pipeli e e plicitly rame throu h a health system optimi atio le s rou e i care ethics I ali ate the rame ork o ers a replicable har are-a are mo el or applyi ear-term ua tum computi to re uce ariatio i healthcare outcomes i commu ities ith limite access to tech olo ical be e ts e or s repurposi

∗

A A ua tum optimi atio machi e lear i B

telehealth et ork esi

me ical Io routi

rese ter

†Correspo

orres o

i

author

rese ter

e us Bri kley- app

A thor

ushpita Cha er ee

a l le us bri kleytapp mmc e u a l puspita cha er ee mmc e u

ru


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

ancer A & Precision Oncolo y

29


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

ter retable Mach e ear atholo cal A o e es s

eco es M lt scale ractal sche c et o ath

A thors apia ey Ale a re ∗ Aleah Brokemo A il Sha ker Harsha a a akaru a† Me aka C A l at o s Meharry Me ical Colle e

ectral

a ira si h hou ao am†

a ea

at res o amela M Marti

b ect e Ischemic reti opathies i clu i reti opathy o prematurity isrupt the hierarchical or a i atio o the reti al micro asculature yet comprehe si e ua titati e biomarkers that capture these multiscale ab ormalities remai limite E isti approaches o te ail to li k ascular morpholo y to u erlyi biolo ical mecha isms or are limite to a si ular scale ur ob ecti e is to pro uce a machi e lear i rame ork that e erates i terpretable physiolo ically rou e metrics ua ti yi the break o o ascular or a i atio associate ith hypo ia- ri e eo asculari atio Metho s e e elope a i terpretable computatio al rame ork that i te rates ractal eometry spectral scali a alysis stochastic te ture metrics a raph-base ascular topolo y rom reti al at mou t ima es the metho e tracts biolo ically si i ca t escriptors i clu i ractal ime sio lacu arity Hurst e po e t essel tortuosity a bra chi a le e tropy hese eatures ua ti y ascular stochasticity sel -or a i atio a structural i stability across spatial scales e era i these biolo ically rou e escriptors e trai ra ie t Boosti a -Boost classi ers to iscrimi ate il -type rom I reti as e suri that mo el ecisio s remai tra spare t a physiolo ically i terpretable es lts si the o y e -i uce reti opathy I mouse mo el o e i e ti e a co siste t patholo ical si ature characteri e by re uce ractal comple ity a eake e lo -ra e spatial correlatio s re ecte by a lo er Hurst e po e t alo si e i crease lacu arity tortuosity a bra chi a le isor er Decrease ractal ime sio a Hurst e po e t to ether ith ele ate lacu arity a tortuosity emer e as the most iscrimi ati e eatures re ecti capillary ropout a aberra t eo ascular ro th A simulta eous re uctio i spectral Hurst e po e t ractal ime sio a al ebraic co ecti ity co rms that ischemic remo eli ma i ests as a composite si ature across ractal eometry spectral scali a micro ascular topolo y A Boost classi er trai e o these eatures achie e a A C o i strati e e- ol cross- ali atio substa tially outper ormi i i i ual biomarkers A C atch-le el a alysis co rme that these isruptio s i ractal or a i atio a structural cohere ce are locally pro ou ce o cl s o s act his ork establishes a ua titati e biolo ically i terpretable i e or micro ascular phe otypi Ischemic remo eli i the reti a is sho to i ol e a coor i ate break o o etermi istic ractal structure a stochastic scali beha ior his rame ork pro i es a robust ou atio or tra slatio al a io e esis research a supports ob ecti e mecha ism-i orme ia ostics or reti al ascular isease e

∗

or s AI M

machi e lear i

reti opathy

ascular

essel prematurity ischemia

rese ter

†Correspo

orres o Me aka C

i

authors rese ter apia ey Ale a A thors Harsha a a akaru a hou ao am

30

re

a l ale mmc e u hra akaru a mmc e u me aka thou ao am mmc e u


Abstract Booklet A o el c e ta rostate a cer

AIM-AHEAD Southeast MMC Hub Symposium calable A

roach to rocess ar e cale

sto atholo

ub a i ky A thors Charles Moore ∗ Subash eupa e† he ba Che Suresh Bha a i ha ei a oupi De A l at o s Meharry Me ical Colle e MB i ersity o Ha aii

ata or ibhuti

upta

b ect e e propose a o el e cie t a scalable approach to process lar e-scale histopatholo y ata or Ca risk assessme t Metho s his stu y utili e i iti e hole-sli e ima es SIs rom Ca patie ts to e elop a risk pre ictio mo el Ima es ere preprocesse to e tract tissue re io s a i i e i to patches or a alysis eature embe i s ere obtai e usi the pretrai e I ou atio mo el a use as i put to the Clusteri -co strai e A e tio Multiple I sta ce ear i C AM rame ork or eakly super ise lear i o impro e e cie cy e employe a i o -base trai i strate y here the mo el is trai e o se ue tial subsets o SIs rather tha the ull ataset at o ce his approach re uces memory re uireme ts accelerates trai i a e ables e ecti e lear i across iteratio s es lts A total o SIs rom patie ts ere a aly e Ima e patches ere preprocesse usi S se me tatio hole lli a lteri ithi the C AM rame ork to e tract hi h- uality re io s I total patches pi els at resolutio o -o erlappi ere obtai e he propose metho re uce trai i time by to hours or epochs a to hours or epochs o cl s o s act his stu y prese ts a e cie t rame ork le era i histopatholo y ima e eatures to pre ict Ca risk si the C AM mo el ith a e tio -base multiple i sta ce lear i e capture key morpholo ical pa er s ithout re uiri etaile a otatio s emo strati a e ecti e approach or lar e-scale histopatholo y a alysis e

∗

or s

rostate Ca cer

SI C AM

rese ter

†Correspo

i author rese ter Charles Moore a l charles moore mmc e u orres o A thor Subash eupa e a l subash eupa e mmc e u


Abstract Booklet A

o el

e eral able A

AIM-AHEAD Southeast MMC Hub Symposium roach to

te rate M lt

o al

ata or rostate a cer

A thors Subash eupa e ∗ Charles Moore he ba Che ub a i ky Suresh Bha a i ha ei a oupi De A l at o s Meharry Me ical Colle e MB i ersity o Ha aii b ect e e propose a e erali able approach to oi tly lear e erate u i e patie t embe i s or o stream tasks

ibhuti

upta

rom multimo al Ca ata a

Metho s his stu y uses multimo al Ca ata i clu i histopatholo y SIs molecular A mi A-se a cli ical ariables rom C A- AD a CIA retrai e ou atio mo els e tract mo ality-speci c eatures ali e ia co trasti e lear i a use ith a e tio to ha le missi ata he resulti u i e patie t embe i s e able o stream M or Deep ear i D mo els or risk pre ictio es lts A total o SIs rom patie ts ere a aly e A ter ata e tractio rom C A AD each mo ality cohort ill be clea e a sta ar i e usi mo ality-speci c preprocessi pipeli es Histopatholo y SIs u er o tissue etectio stai ormali atio a tili Molecular ata A-se is ormali e ltere or lo -e pressio or re u a t eatures a missi alues ha le retrai e mo ality-speci c e co ers ou atio mo els ere use to e erate compact a i ormati e represe tatio s rom hetero e eous ata mo alities such as I or Histopatholo y ata Se M or molecular ata a ab or tabular ata All the e tracte embe i s are ali e usi co trasti e lear i a use throu h a e tio to ha le missi ess a capture cross-mo ality i teractio s o cl s o s act his stu y prese ts a o el e erali able rame ork to represe t a use multimo al Ca ata e abli u i e represe tatio s that support multiple o stream tasks i clu i risk a biochemical recurre ce pre ictio e

∗

or s

rese ter

rostate Ca cer M

rese ter Subash

D

eupa e

multimo al

ou

atio Mo els

a l subash eupa e mmc e u


Abstract Booklet eco be

AIM-AHEAD Southeast MMC Hub Symposium

the leaso core A br Mach e ear sa ra scr to c B o arkers

ra e ork e era

A thors Dr Hire ra ath Ba er ee ∗ Dr Sachi She y Dr Soumya Ba er ee Dr o Dr ul eep a at† A l at o s Eli abeth City State i ersity D Mo

A ark

b ect e rostate ca cer is o e o the most commo mali a cies amo me lobally he leaso scori system remai s a key ia ostic a pro ostic tool yet it su ers rom sub ecti ity a i ter-obser er ariability his stu y e plores a multi-mo al machi e lear i rame ork that le era es both e omic D A se ue ces a e e e pressio pro les to i e ti y molecular eatures associate ith leaso scores Metho s e applie a multi-mo al strate y that combi es se ue ce-le el a e pressio -le el ata to e tract compleme tary eatures pre icti e o tumor ra e or e omic se ue ce mo ality e use a hybri o k-mer re ue cy a alysis a D ABE -base embe i s to capture both locali e a co te tual ucleoti e pa er s Simulta eously e a aly e e e e pressio s rom prostate ca cer cohorts e e e pressio pro les re ect the tumor s molecular state across a cohort o patie ts e trai e classi catio mo els i clu i ra ie t Boosti o these eatures applyi class bala ci a - ol strati e cross- ali atio to e sure robust per orma ce a e erali ability es lts he e tracte D A se ue ce eatures e hibite clusteri pa er s ali e ith leaso scores i icati their biolo ical rele a ce Classi catio mo els trai e o e pressio eatures achie e hi h pre icti e accuracy ith scores reachi up to i i ere tiati bet ee leaso s a s A itio ally the e pressio a alysis yiel e a e e pa el o hi h-importa ce biomarker he top biomarkers i clu e AMAC M S C A a S sho i pro ressi e i ere tial e pressio across leaso scores o cl s o s act By i te rati D A se ue ce a e e e pressio ata this stu y emo strates the po er o multi-mo al represe tatio s or leaso score pre ictio he approach e ables both hi h classi catio per orma ce a biolo ically i terpretable i si hts supporti the e elopme t o ob ecti e ata- ri e tools or prostate ca cer ia osis pro osis a biomarker-i orme ecisio -maki he hybri eature e tractio rame ork prese te here is a aptable a ca support the uture e elopme t o machi e lear i mo els or cli ical pre ictio tasks ot o ly or prostate ca cer but pote tially or other e omic- ri e iseases e or s Biomarker Disco ery e omic Se ue ce Embe Multi-Mo al Machi e ear i rostate Ca cer

∗

rese ter †Correspo i author rese ter Dr Hire ra ath Ba er ee bhire ra ath ecsu e u orres o A thor Dr ul eep a at

33

i

s

leaso Score re ictio

a l ksra at ecsu e u


Abstract Booklet br r le

a t – lass cal Mach e ear e at e Breast a cer s

A thors acly Claibor e ∗ e icka or oo A l at o s Meharry Me ical Colle e

AIM-AHEAD Southeast MMC Hub Symposium or re ct ata Dr

r

al

tco es

ushpita Cha er ee†

b ect e his stu y aime to e elop a hybri ua tum classical eural et ork or pre icti -year sur i al amo BC patie ts usi SEE ata compare its per orma ce ith establishe classical machi e lear i mo els a e aluate hether ua tum-e ha ce eature e co i impro es pre icti e accuracy Metho s e a aly e BC cases rom the SEE re istry Se e cli ically rele a t ariables ere selecte or ua tum e co i i clu i tumor si e sta e a e treatme t timi a a i come-a e ratio A - ubit ariatio al ua tum circuit as i te rate ith a classical multilayer perceptro to create a hybri Mo els ere trai e usi a strati e split er orma ce as assesse usi area u er the C cur e A C calibratio a loss-cur e a alysis All preprocessi a trai i proce ures ere sta ar i e to support repro ucibility es lts he hybri achie e a test A C o e cee i the per orma ce o lo istic re ressio ra om orest a a classical multilayer perceptro rai i a ali atio loss cur es sho e stable co er e ce across epochs he ua tum-e ha ce eature represe tatio impro e separatio bet ee sur i al outcomes a co tribute to stro er pre icti e per orma ce particularly or cases ith i terme iate cli ical characteristics o cl s o s act his stu y emo strates that hybri ua tum classical mo els ca achie e hi h pre icti e accuracy or BC sur i al usi populatio -le el ca cer re istry ata he approach o ers a pote tial path ay or a a ci computatio al mo eli i o colo y as ua tum har are a so t are co ti ue to e elop he results hi hli ht the easibility o applyi ua tum machi e lear i metho s to real- orl cli ical atasets a pro i e a ou atio or uture ork i ca cer outcome pre ictio e or s ua tum machi e lear i hybri eural et orks triple- e ati e breast ca cer SEE sur i al pre ictio ariatio al ua tum circuits

∗

rese ter †Correspo i author rese ter acly Claibor e orres o A thor Dr ushpita Cha er ee

a l clai mmc e u a l puspita cha er ee mmc e u


Abstract Booklet M lt o rce, ob st ee r la able ra e ork te rat

AIM-AHEAD Southeast MMC Hub Symposium al Mo el or r le ,M M ,a

A thors e icka or oo ∗ acly Claibor e Dr A l at o s Meharry Me ical Colle e

e at e Breast a cer A AB A

ushpita Cha er ee†

b ect e e e elop a multi-source e plai able robust eep sur i al rame ork that harmo i es three atio al real- orl atasets ia M CDM i te rates tabular temporal a e omic ata throu h a multi-to er eural architecture co strai s trai i to re uce pre ictio ariatio across emo raphic sub roups a pro i es multi-metho e plai ability or cli ical trust Metho s e harmo i e real patie ts across SEE BC re istry cases MIMICI breast ca cer patie ts ith lab recor s rom Bi uery a C A-B CA BC cases ith mutatio s rom cBio ortal A three-to er eep sur i al mo el e co es tabular eatures M temporal lab se ue ces ra s ormer a cli ical te t Cli icalBE throu h a usio layer ith a DeepSur Co proportio al ha ar s hea rai i i corporates a aria ce re ulari er pe ali i pre ictio aria ce across emo raphic sub roups E plai ability combi es I te rate ra ie ts SHA a IME e erate airS arm e ables pri acy-preser i multi-i stitutio al collaboratio es lts real SEE ata trai ali atio the mo el achie e a co cor a ce i e o outper ormi sta ar BC mo els C-i e Sub roup au iti across e emo raphic roups yiel e a parity score o emo raphic parity ap e uali e o s ap o cl s o s act his rame ork emo strates that aria ce-a are eep lear i ca impro e BC sur i al pre ictio a e plicitly au it a re uce pre ictio aps across emo raphic sub roups he complete ope -source pipeli e li es tests ith a cli ical ashboar supports AIM-AHEAD s missio to re uce AI- ri e outcome aps across patie t populatio s that ha e bee i a e uately represe te i prior research e

or s riple- e ati e Breast Ca cer Deep Sur i al A alysis Accessible recisio colo y E plai able AI Machi e ear i M CDM Multi-Source Data I te ratio

∗

rese ter †Correspo i author rese ter e icka or oo orres o A thor Dr ushpita Cha er ee

a l te icka or oo mmc e u a l puspita cha er ee mmc e u

35


Abstract Booklet ra scr to bes t to

c e2

AIM-AHEAD Southeast MMC Hub Symposium at res o Metabol c ra s t o abetes

A thors Ebo y eems- luremi h D ∗ Dr A l at o s Meharry Me ical Colle e

o

e t

the Molec lar

tch ro

ary

b ect e he pro ressio rom obesity to iabesity ype Diabetes associate ith obesity represe ts a ma or public health challe e ri e by comple a i completely u erstoo tra scriptomic cha es his stu y aims to i e ti y robust i terpretable biomarkers that characteri e this tra sitio a e able early risk strati catio a precisio health particularly i ata-limite se i s here tra slati hi h- ime sio al tra scriptomic ata i to actio able tools remai s a barrier Metho s e applie a i te rati e AI M pipeli e to the SE tra scriptomic ataset comprisi lea obese o - iabetic a obese- iabetic cohorts Due to limite i i i ual-le el cli ical meta ata a roup-base a alytical rame ork as employe ath ay acti ity across samples as ua ti e usi a S A-like scori approach A a om orest classi er ith lea e-o e-out cross- ali atio as use to i e ti y a parsimo ious e e si ature u ctio al e richme t a alysis i clu i E a e e tolo y as co ucte to characteri e the biolo ical rele a ce o the most pre icti e eatures es lts ath ay acti ity scores emo strate a clear tra scriptomic tra ectory ith D samples sho i si i ca t e richme t o i ammatory a stress-respo se si atures compare to lea co trols a om orest eature importa ce prioriti e a - e e pre icti e si ature i clu i EM CC C C I - a EDA u ctio al e richme t re eale that these top-ra ke eatures are ce trally i ol e i cytoki e-cytoki e receptor i teractio I - si ali - ri e i ammatory path ays ECM-receptori teractio A si ali a i suli resista ce otably the hi h ce trality o EM a C C su ests that myeloi - ri e i ammatio a chemoki e si ali are the primary molecular s itches o er i the tra sitio to a iabetic state o cl s o s act o ether these i s support a mo el i hich the tra sitio rom obesity to D is ri e by pro ressi e acti atio o i ammatory a chemoki e-ce tere et orks superimpose o metabolic ysre ulatio By i e ti yi a - e e molecular s itch e pro i e a robust rame ork or early strati catio that coul impro e health outcomes a resource allocatio i hi h-risk commu ities e or s Machi e ear i Diabesity e e Si re icti e Biomarkers I suli esista ce

∗

rese ter

rese ter Ebo y

ature

eems- luremi h D

a

om orest

ra scriptomics

a l e eems

36

mmc e u


Abstract Booklet he br A Mach e ear ol c h t

AIM-AHEAD Southeast MMC Hub Symposium a ta e a cer othera o b Mecha st c Mo els a or ob st erso al e reat e t er B olo cal etero e e t a

A thors Harsha a a akaru a ∗ ha i ai ela i uo a A il Sha ker† A l at o s Meharry Me ical Colle e

a a asabai Sal a or

o

ale

choa

b ect e o e elop a ali ate a hybri mecha istic machi e lear i rame ork or perso ali e ca cer immu otherapy that a resses patie t-speci c biolo ical hetero e eity a e ables reliable cou ter actual e aluatio u er treatme t policy shi t Speci cally e seek to i i te rate mecha istic u ersta i ith ata- ri e i ere ce to reco er late t patie t phe otypes rom sparse early-respo se ata ii e able calibrate cou ter actual reaso i or u obser e osi sche ules a combi atio strate ies a iii be chmark the hybri rame ork a ai st misspeci e mecha istic mo els a pure machi e lear i pre ictors Metho s A sy thetic patie t cohort ith k o rou truth as e erate usi a tumor immu e -β e haustio or i ary i ere tial e uatio DE simulator i corporati PDblocka e a -β i hibitio hree mo eli para i ms ere compare i a misspeci e mecha istic DE mo el omi i -β a e haustio ii a pure lo itu i al ra ie t boosti machi e lear i pre ictor a iii a hybri rame ork herei a eural et ork i erre patie t-speci c late t parameters rom early i o ata (t ays a a i ere tiable DE sol er per orme or ar rollouts u er a y treatme t sche ule rai i employe ra omi e osi sche ules to e plicitly stress-test e erali atio u er policy shi t er orma ce as e aluate o actual accuracy MSE MAE bias a cou ter actual reliability calibratio slope calibratio bias ra ki accuracy a ai st true outcomes es lts he misspeci e mecha istic mo el e hibite se ere systematic bias ay- bias − 2. a poor accuracy Both the hybri a pure machi e lear i mo els re uce mea absolute error by o er ith the hybri achie i the lo est tra ectory error MSE A ter calibratio the hybri pro uce ear-u biase cou ter actual ai estimates mea bias 4 a reliably selecte optimal combi atio therapies u er o el sche ules he . hybri rame ork reco ere i terpretable patie t-speci c phe otypes i clu i i tri sic tumor ro th immu e killi capacity -β se siti ity a checkpoi t epe e ce e abli mecha istic au iti o treatme t ecisio s o cl s o s act I te rati mecha istic structure ith machi e lear i perso ali atio e ables accurate pre ictio calibrate cou ter actual e aluatio a i terpretable optimi atio o i i i uali e immu otherapy u er realistic policy shi t hile emo strate here usi simulate patie t ata ith k o rou truth the rame ork pro i es a pri ciple ou atio or reliable treatme t perso ali atio a mecha istic assessme t o therapeutic strate ies beyo obser e cli ical protocols e or s Hybri mecha istic machi e lear i ca cer immu otherapy cou ter actual e aluatio policy shi t tumor immu e y amics perso ali e me ici e

∗

rese ter

†Correspo

orres o

i

author rese ter Harsha a a akaru a A thor A il Sha ker

a l hra akaru a mmc e u a l asha ker mmc e u


Abstract Booklet al at

AIM-AHEAD Southeast MMC Hub Symposium or Mela o a

etect o

s

er osco c

a es

A thors i uo a ∗† Ihu a Amu o Harsha a a akaru a Maria oh so Iru ayam Hua ie A il Sha ker Samuel A u yah A l at o s Meharry Me ical Colle e b ect e Assess GPT- s ia

ostic per orma ce o

ermoscopic ima es

Metho s GPTas e aluate o t o public be chmark atasets the ISIC Archi e a HAM usi a ra omly selecte ermoscopic ima es respecti ely ia the pe AI Applicatio ro rammi I ter ace A I GPTas prompte to per orm three tasks top- or primary ia osis top- i ere tial ia oses a mali a cy iscrimi atio mela oma s be i Mo el outputs ere compare ith histopatholo y- eri e rou truth a per orma ce as measure by se siti ity speci city accuracy score a other metrics es lts GPT- achie e mo est accuracy i top- or primary ia osis but marke ly impro e per orma ce i top- i ere tial ia oses ith se siti ity speci city accuracy a score or mali a cy iscrimi atio GPT- sho e more bala ce se siti ity a speci city tha - -base mo els a - o resulti i more reliable classi catio o erall o cl s o s act - outper orme GPT- a its eri ati es particularly i i ere tial ia osis hi hli hti its pote tial or cli ical ecisio support a me ical e ucatio Ho e er GPT- also sho e a te e cy to misclassi y mela oma as be i u erscori the ee or cautious cli ical i terpretatio a re eme t e

∗

or s mela oma ia

rese ter †Correspo orres o

A thor

i

osis

ermoscopy lar e la

author i

uo

rese ter

i

uo

a

38

a

ua e mo el Chat

-

al

i a

mmc e u

al

i a

mmc e u


Abstract Booklet o e A A

AIM-AHEAD Southeast MMC Hub Symposium r e M lt scale ra e ork or re ct e

at ral

ller ell B olo

A thors Sal a or o ale choa∗ Meti Aksu Harsha a a akaru a ara a ise y E ar Hu hes Mu a A Mohamme a e o ello ha i ai ela a a asabai Alla I a o a †A il Sha ker A l at o s Meharry Me ical Colle e b ect e atural killer cells are ce tral me iators o tumor a iral immu osur eilla ce a represe t promisi tar ets or e t- e eratio immu otherapies Ho e er their therapeutic e cacy remai s limite ue to i tri sic cellular hetero e eity a u ctio al ecli e associate ith a i a isease hese challe es hi hli ht the comple ity o the molecular et orks o er i cell e ector u ctio across biolo ical co te ts A a ces i arti cial i telli e ce AI o e able i te ratio o hi h- ime sio al atasets pro i i e opportu ities to mo el immu e cell beha ior Here e propose the Co e -AI a multi-le el a alytical rame ork esi e to eco e cell states by i te rati phe otypic metabolic a u ctio al eatures Metho s o e elop this rame ork e impleme te i terpretable machi e lear i approaches i clu i Boost ra om orests a re ulari e re ressio mo els couple ith mecha istic co strai ts to e sure biolo ical i terpretability e applie this rame ork to i te rati e si le-cell A se ue ci atasets comprisi cells rom peripheral bloo a paire tumor a ormal tissues cells ere classi e i to e elopme tal a u ctio al subtypes i t A B C usi A Cell-base e e si atures capturi tra ectories o maturatio e ector polari atio a tissue a aptatio Metabolic path ay acti ity lycolysis o i ati e phosphorylatio a y aci metabolism as ua ti e a i te rate ith phe otypic a u ctio al eatures SC e pressio as i corporate as a ce tral re ulator li ki metabolic t ess to e ector u ctio a a i -associate remo eli re icti e mo els ere urther applie to cli ical atasets o breast ca cer patie ts strati e by a e cells as a hi h- t ess cytoto ic state e riche ithi mature B e i e ti e SC a C subsets p a characteri e by ele ate metabolic acti ity p his metabolic u ctio al coupli supports e cie t cytoto icity but ot cytoki e pro uctio i icati u ctio al speciali atio Importa tly hile cytoto ic si atures correlate ith impro e sur i al i you er patie ts this associatio as lost i ol er i i i uals re eali a a e- epe e t ecoupli bet ee cytoto ic i e tity a u ctio al compete ce es lts

o cl s o s act erall the Co e -AI emo strates that cell u ctio emer es rom coor i ate i te ratio o e elopme t metabolism a co te t sce ario By i e ti yi SC - epe e t metabolic re ulatio as a key etermi a t o e ector compete ce this rame ork pro i es a ou atio or pre icti e mo eli a precisio immu otherapeutic strate ies tar eti cell ys u ctio i a i a isease e

or s

cells A i

rese ter †Correspo

i

Ca cer AI De elopme t u ctio

metabolism

author

rese ter Sal a or o ale choa orres o A thor A il Sha ker

a l s o ale ochoa mmc e u a l asha ker mmc e u

39


Abstract Booklet Mach e ear ha st o

AIM-AHEAD Southeast MMC Hub Symposium – r e Mo el

o

a

– ece tor

et orks

ell

choa Mu a A thors ha i ai ela a a asabai∗ Harsha a a akaru a Sal a or o ale A Mohamme a e o ello Maria- oh so Iruthayam i uo a Alla I a o a A il Sha ker† A l at o s Meharry Me ical Colle e b ect e CD cell e haustio i the tumor microe iro me t ME arises rom coor i ate li a receptor i teractio s rather tha isolate checkpoi t path ays I a e is lu carci oma sy e eic mo el e i e ti e a isti ct CD cell populatio co-e pressi CEACAM a I I ith DIM- a C A- e riche i tumors a e hibiti tra scriptio al eatures o termi al e haustio hese i s moti ate a systems-le el hypothesis that CD cell ys u ctio is a emer e t property o i teracti i hibitory et orks Here e prese t a co ceptual hybri mecha istic machi e lear i rame ork rou e i these e perime tal obser atio s a esi e or parallel a alysis o huma tumor atasets cell Metho s lo cytometry ata rom tumors ere use to e e e hauste CD phe otypes or tra slatio al e te sio bulk A-se ata rom he Ca cer e ome Atlas C A a e otype- issue E pressio E to ether ith si le-cell A-se atasets rom the umor Immu e Si le-cell Hub ISCH a e e E pressio m ibus E are i te rate Immu e compositio is estimate usi CIBE S a MC -cou ter A curate i teractio et ork is assemble rom A M I HA a Cell ho eDB Sample-speci c i teractio scores are compute by i te rati li a e pressio i tumor a stromal compartme ts ith receptor e pressio i CD cells CD cell e haustio is mo ele as a co ti uous late t state usi si le-sample e e set e richme t a alysis ss SEA a associatio s ith i teractio s are i e ti e ia ei hte e e co-e pressio et ork a alysis C A Super ise machi e lear i mo els a om orest Boost elastic et are impleme te to pre ict e haustio states a immu otherapy respo se ith Shapley A iti e e la atio s SHA use or mo el i terpretatio arallel a alyses across atasets are use to assess repro ucibility a e erali ability es lts E perime tal ata co rm CEACAM + I I CD cells as a termi ally e hauste subset e riche i the ME supporti cooperati e roles or CEACAM IM- a I I ecti si ali a es arallel a alyses o ope -access atasets are e pecte to recapitulate these associatio s across ca cer types a e aluate their e erali ability he rame ork is a ticipate to i e ti y sy er istic mo ules beyo ca o ical checkpoi ts a to e erate pre icti e mo els prioriti i key i teractio s associate ith e haustio phe otypes a therapeutic respo se o cl s o s act By i te rati e perime tally ali ate mecha isms ith ope -access huma tumor atasets this ork establishes a scalable systems-le el rame ork or mo eli CD cell e haustio he resulti et ork atlas a pre icti e mo els are esi e to i e ti y repro ucible biomarkers a ratio al combi atorial immu otherapy tar ets i soli cell e haustio li a receptor et orks machi e lear i hybri mo eli tumors e or s CD CEACAM ∗

IM-

I I

immu otherapy

rese ter †Correspo i author rese ter ha i ai ela a a asabai

a l tka a asabai mmc e u

orres o

a l asha ker mmc e u

A thor A il Sha ker

40


41


42


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

ar io ascular & etabolic ealt

43


Abstract Booklet a sal M

or

AIM-AHEAD Southeast MMC Hub Symposium e

c

sk

a t cat o a

act orecast

A thors Dr Ebelechuk u Mo o ∗ Dr ames Baurley A l at o s E IM Co sulti C Bio ealm C b ect e o i e ti y isti ct sy emic sub roups ithi ata rom e erally uali e Health Ce ters atio ally here co-occurri car iometabolic a beha ioral health risks compou to ri e poor outcomes a to estimate the causal e ects o i te rate beha ioral-car iometabolic care a social support i ter e tio s o hospitali atio s lycemic co trol a me icatio a here ce across those sub roups Metho s his stu y uses CHI s ataset o appro imately millio patie ts across e erally uali e Health Ce ters atio ally structure i M Commo Data Mo el ormat he stu y populatio i clu es a ults a ol er ith co-occurri hyperte sio obesity a iabetes yiel i appro imately millio cases a co trols hase applies u super ise clusteri to cli ical beha ioral a social ariables i clu i HbA c H oo i security a area epri atio to i e ti y to isti ct hi h- ee sub roups optimi e usi silhoue e scores a isuali e usi MA hase employs a lo itu i al esi ollo i patie ts rom to usi metho s ra i rom i terpretable mo els e erali e li ear mo els prope sity score matchi to more comple approaches ra ie t boosti machi es causal orests ith Bayesia a alysis to ua ti y u certai ty arou e ect estimates hase e elops tra slatio tools i clu i a Streamlit ashboar ope itHub repository a peer-re ie e publicatio es lts his stu y is curre tly i pro ress I B appro al a ata use a reeme ts ith CHI ha e bee ali e Data access is secure ia the AIM-AHEAD Ser ice orkbe ch Cohort i e ti catio is u er ay a prelimi ary escripti e a alysis o the case cohort re eals millio patie ts ith a mea a e o years SD emale he cohort is pre omi a tly hite ollo e by ati o a A rica America patie ts i ali atio o the a alytic pla is u er ay o cl s o s act he i s rom this stu y ill mo e beyo broa -base populatio i ter e tio s to ar sub roup-speci c characteri atio a i ter e tio e i e ce his ill i orm the esi o precise hi h-impact a resource-e cie t pre e tio strate ies i e erally uali e Health Ce ters a support the e elopme t o a alytical pipeli es that ca be a apte across similar se i s hese co tributio s irectly a a ce AIM-AHEAD orth Star III usi AI M to impro e beha ioral health a car iometabolic outcomes or all America s e or s sy emics causal machi e lear i car iometabolic health commu ity health ce ters EH precisio populatio health CHI M

∗

rese ter

rese ter Dr Ebelechuk u Mo o

al

44

ebele erimco sulti

or


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

ar o etabol c sk A o e ro ct e A e o e th or o al o trace t e A M lt Mo el A al s s o the All o s esearch ro ra

se

A thors u ith Dike ∗ Ai e Cao† A l at o s Meharry Me ical Colle e b ect e E ami i the associatio bet ee hormo al co tracepti e use a i ci e t hyperte sio hyperlipi emia a type iabetes I e ti yi emo raphic populatio a eco omic pre ictors o car iometabolic risk i this populatio Compari i s across multiple mo eli approaches Metho s si electro ic health recor s rom the All o s esearch ro ram e a aly e ata rom participa ts a e years assi e emale at birth ho reporte hormo al co tracepti e use bet ee a uary a December I ci e t outcomes ere i e ti e ia ICD- co es recor e a ter co tracepti e i itiatio re ictors i clu e a e at i itiatio populatio compositio ariables a ual i come e ucatio employme t BMI smoki a alcohol use e employe lo istic re ressio Co proportio al ha ar s mo els a Boost ith SHA e plai ability a alysis es lts he cohort ha a mea a e o years SD a as arie i populatio compositio hite ati o A rica America ollo i co tracepti e i itiatio e elope hyperte sio hyperlipi emia a type iabetes Across all mo els ol er a e at i itiatio as the most co siste t pre ictor o car iometabolic risk ith each a itio al year associate ith hi her o s o hyperte sio CI a hyperlipi emia CI a hi her o s o type iabetes CI Hi her a ual i come as protecti e or hyperte sio CI a type iabetes CI Co mo els yiel e co siste t ha ar estimates or a e at i itiatio H CI hyperlipi emia H CI a type iabetes H CI Boost achie e C-A C alues o across outcomes SHA a alysis co rme a e a BMI as omi a t pre ictors ith A rica America associate ith ele ate hyperte sio risk a hi her e ucatio u e pecte ly associate ith i crease type iabetes risk possibly re ecti etectio e ects o cl s o s act Amo hormo al co tracepti e users ol er a e at i itiatio a hi her BMI ere the stro est pre ictors o i ci e t car iometabolic co itio s early i users e elope hyperte sio u erscori the ee or routi e car iometabolic mo itori particularly or ome i itiati hormo al co tracepti es at ol er a es or ith ele ate BMI Co er e ce across three mo eli approaches stre the s co e ce i these associatio s a supports their cli ical rele a ce e or s Hormo al co tracepti es Car iometabolic risk Hyperte sio Machi e lear i

∗ rese ter †Correspo

orres o

i

ype

iabetes

a l ike mmc e u a l acao mmc e u

author rese ter u ith Dike A thor Ai e Cao

45


Abstract Booklet re atal a re a c

AIM-AHEAD Southeast MMC Hub Symposium

ab s a

oca e

se a

sk o Ac te ar o asc lar

e ts

r

A thors Sa e ra es ∗ Ai e Cao† A l at o s Meharry Me ical Colle e b ect e o a aly e the associatio bet ee pre atal substa ce use isor er ca abis a cocai e a the co-occurre ce o acute car io ascular e e ts ACE - myocar ial i arctio car iac arrest Metho s A retrospecti e cohort stu y as co ucte usi All o s ata he cohort i clu e ome a e years ith pre a cy episo es i e ti e by ICD co es u i ue pre a cies ere e e usi a ay ap al orithm Demo raphics ere e tracte rom electro ic health recor s EH Substa ce use ca abis cocai e a ACE ere i e ti e ia ICD co es o istic re ressio e ami e associatio s bet ee each substa ce a ACE a usti or mater al a e es lts Amo ome pre a cies populatio istributio as hite Hispa ic A rica America Asia a ther k o Mea a e as years SD Ca abis use occurre i o pre a cies cocai e use i ACE occurre i pre a cies A ter a usti or a e ca abis use as associate ith si i ca tly i crease o s o ACE a uste o s ratio a CI p Cocai e use sho e a tre to ar i crease risk but i ot reach statistical si i ca ce a CI p l er a e as also associate ith i crease risk per SD CI p o cl s o s act re atal ca abis use is stro ly associate ith acute car iac e e ts cocai e use may also i crease risk Car io ascular mo itori shoul be co si ere or pre a t ome usi ca abis or cocai e e or s acute car io ascular e e ts ca abis use isor er cocai e use isor er mater al health re atal substa ce use pre icti e mo eli a lo istic re ressio

∗

rese ter †Correspo orres o

i

author

rese ter Sa e

ra es

A thor Ai e Cao

a l s ra es

mmc e u

a l acao mmc e u

46


Abstract Booklet re ct l ar

AIM-AHEAD Southeast MMC Hub Symposium

a e c ter e t o s

ee

tr t o al

sk

s

the MA

oo

core a

o

re

A thors pa hriti hosh ∗ o i aylor A l at o s Ce tral Ma et School Meharry Me ical Colle e b ect e his pro ect pursues three i terco ecte ob ecti es ua ti y the e ree to hich prese t bias alo si e e a itio al co iti e traps i clu i optimism bias a e cy bias a her bias shapes tee ietary ecisio s e elop a AI- ri e mo el to i e ti y stu e ts at reatest utritio al a holistic health risk a e aluate hether a Har ar -i spire culi ary pro ram i te rate ith mi ul eati practices ca mea i ully re uce that risk by re eri healthy oo choices imme iately re ar i rather tha a e erre obli atio Ce tral to this rame ork is the SMA oo Score S S a i e eri e rom e beha ioral omai s that to ether capture the key mo i able ri ers o tee utritio Applie to atio al HA ES ata the S S pro les populatio -le el risk pa er s a i orms a stu e t-le school-base i ter e tio mo el that pairs o- re cooki ith tar ete utritio e ucatio to buil a are ess rei orce mi ul habits a support lasti beha ioral cha e Metho s he stu y use seco ary ata a alysis o HA ES beha ioral risk scori mo el ia SMA oo Score AI-assiste escripti e a alytics a isuali atio school-base o- re culi ary i ter e tio built rom culi ary me ici e rame orks a beha ioral a mi ul-eati outcome e aluatio es lts Si i ca t portio s o a olesce ts e hibite hi h-risk beha iors prolo e scree time re ue t ast oo limite home access to ruits e etables a aily su ary ri ks ey ri ers i clu e ast oo re ue cy home oo e iro me t a scree time o er mi ul eati e istracte or rushe eati correlate ith hi her S S risk as i percei e lack o a e cy o er choices I ter e tio s are a ticipate to lo er S S scores hile yiel i holistic be e ts be er moo re uce stress impro e ocus a i crease cooki sel -e cacy i i s ere co siste t across emo raphics a i come le els supporti broa applicatio i multiple school se i s o cl s o s act he SMA oo Score pro i es a simple scalable metric bri i public health ata ith actio able school-base strate ies aire ith ha s-o o- re culi ary acti ities a e ucatio it osters measurable ai s i tee utritio a are ess a beha ior promoti li elo healthy habits his mo el i te rates ata scie ce beha ioral i si hts a youth empo erme t or broa er ell ess i itiati es

∗

e or s ee utritio SMA oo Score beha ioral risk actors school-base HA ES healthy habits culi ary me ici e

ell ess

rese ter

mail com

rese ter

pa hriti

hosh

a l upa hriti

47


48


49


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

ental ealt & e a ioral n ormatics

50


Abstract Booklet M lt

AIM-AHEAD Southeast MMC Hub Symposium

o al ar e a

a e Mo el–

able M s c hera

or A

et Ma a e e t

A thors u ia ∗ Dalei u† A l at o s i ersity o e essee at Cha a oo a b ect e he primary ob ecti e o this pro ect is to re uce i ere ces i access a outcomes i brai isor er rehabilitatio by bri i to ether a multi iscipli ary team o AI scie tists eurolo ists e ucators a commu ity stakehol ers to e elop AI- ri e music therapy i ter e tio s le era i rece t a a ces i machi e lear i a euroscie ce Metho s he propose AI-e able plat orm i te rates hetero e eous patie t ata i clu i me ical history streami biometric si als e EE a M I emotio al state a sociocultural co te t to y amically tailor music i ter e tio s to e eryo e s pre ere ces a me ical ee s es lts Buil i o e coura i prelimi ary i s the pro ect pursues our speci c aims to a a ce accou table i terpretable a a or able multimo al lar e la ua e mo els M- Ms or music i ter e tio to boost music i ter e tio ia multimo al huma -machi e i teractio to e ami e the impact o perso ali e music o moo a ecisio -maki a to promote ork orce trai i a commu ity e a eme t i AI- ri e healthcare tech olo ies o cl s o s act By impro i ma a eme t o a iety epressio the pro ect coul i ca tly e ha ce uality o li e i priority patie t roupsi eurolo ical care I success ul it ill establish a e para i m or usi AI i music therapy e are co ucti ri orous easibility trials to eluci ate the physiolo ical a psycholo ical mecha isms u erlyi M-LLM- ri e music i ter e tio s pa i the ay or broa er impleme tatio i a i e ra e o healthcare se i s i clu i lo -resource e iro me ts si

e or s ar e a ua e Mo el Music herapy Huma -Machi e I teractio Ma a eme t Biometric Si al

∗

rese ter †Correspo orres o

i

author

A thor Dalei

rese ter

u ia

a l yu-lia al

u

51

A

iety

utc e u

alei- u utc e u


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

rescr t o re e c as a ear r al A al s s A thors Dr A l at o s

o ear re ctor o te rat co o c a

o e e e ce A Mach e e o ra h c cators

icky eu ∗ oomi im i ersity o Memphis

b ect e his stu y aims to characteri e the o -li ear ha ar tra ectories throu h hich prescriptio re ue cy shapes opioi epe e ce risk a e ami e ho eco omic a populatio characteristics mo i y these tra ectories usi machi e lear i M metho s Metho s

si the All o s esearch ro ram ataset e co structe a lo itu i al cohort i itiati opioi prescriptio s ollo i a - ay ashout perio pioi epe e ce as ascertai e rom EH ia ostic co es rescriptio re ue cy as operatio ali e as the pre-scriptio rate per ays ature spli e Co mo els ere applie to assess o -li earity ith pla e compariso s a ai st M approaches i clu i a om Sur i al orests Boost a DeepSur SHA alues ill support i terpretability es lts relimi ary spli e-base Co mo els re eale a hi hly si i ca t o -li ear associatio bet ee prescriptio re ue cy a opioi epe e ce ha ar p isk i crease steeply at lo -to-mo erate prescribi re ue cies be ore plateaui at hi her le els i icati that epe e ce ha ar accelerates at i e ti able threshol s rather tha accumulati u i ormly he mo el achie e a C-i e o appro imately i epe e t o the total MME o cl s o s act hese prelimi ary i s su est that repeate prescribi e e ts reshape epe e ce ha ar i ays osa e-base metrics alo e ca ot capture I e ti yi threshol s at hich risk accelerates may e able earlier cli ical i ter e tio a more tar ete sur eilla ce ull M sur i al a alyses i te rati eco omic a populatio characteristics are o oi ith the oal o i ormi precisio pre e tio strate ies tailore to hi h-risk populatio s a layi the empirical rou ork or a uture proposal e o

∗

or s opioi

epe

e ce prescriptio

re ue cy machi e lear i

sur i al a alysis All

s

rese ter

rese ter Dr

icky eu

a l rcleu

52

memphis e u


Abstract Booklet

Me tal

AIM-AHEAD Southeast MMC Hub Symposium

e elo ealth reat e t ee s

a Mach e ear a ral ealthcare

ra e ork to re ct er atal ste

A thors arle e Cu i ham∗† ale ti a Mar i ea Christopher E a s ay Hylock A l at o s Bro y School o Me ici e at East Caroli a i ersity EC Health b ect e eri atal me tal health co itio s MHCs si i ca tly impact mater al a eo atal outcomes ho e er ma y cases remai u i e ti e or u treate Early pre ictio o at-risk i i i uals coul e able proacti e care i ter e tio s his stu y aime to e elop a ali ate a baseli e machi e lear i mo el to pre ict hich pre a t i i i uals ill be i e ti e as ha i a MHC uri their pre a cy episo e usi rea ily a ailable cli ical ata Metho s A retrospecti e cohort o u i ue i i i uals pre a cy episo es ho recei e care at a rural-ser i healthcare system bet ee a ere a aly e Chart ata e me icatio s a commu ity i ormatio e area-le el resource i ices ere i clu e Me tal health istress e e as the e iste ce o either a positi e scree er a ia osis me icatio or a y o the three as e aluate as the tar et outcome Multiple machi e lear i al orithms ere employe i clu i lo istic re ressio ecisio trees ra om orests a Boost Data ere split i to trai i a testi sets ptu a hyperparameter optimi atio as utili e i co u ctio ith - ol cross- ali atio Mo el per orma ce as assesse eature importa ce as e aluate usi Shapley a iti e e pla atio s a mo el results es lts Amo the stu y populatio recei e me tal health ia oses or me icatio s uri pre a cy a about complete a me tal health-relate scree er uri their pre a cy episo e Mo el per orma ce arie base o the istress i icator a trimester tra sitio Boost e celle i the a y istress cate ory ith A C- C ra i rom to across trimesters a om orest per orme e ecti ely he me icatio as use as a i icator o istress yiel i a A C- C ra i rom to All other per orma ce i icators ell ithi acceptable ra es ho e er speci city co siste tly remai e lo across ell-per ormi mo els e ar i eature importa ce S I stoo out as a si i ca t eature or some but ot all mo els o cl s o s act hese baseli e machi e lear i mo els emo strate stro pre icti e per orma ce i i e ti yi pre a t i i i uals likely to be e perie ci me tal health istress across arious i icators Ho e er all mo els te e to ar s alse positi es a per orma ce arie by trimester u erscori the ee to i esti ate the i ere ces i the ata that co tribute to these results erall these mo els sho promise or cli ical ecisio support a care coor i atio pote tially e abli earlier i ter e tio a impro e resource allocatio e

∗

or s

eri atal Me tal Health AI M

rese ter †Correspo orres o A thor

i author arle e Cu

rese ter i ham

ural healthcare

arle e Cu

53

i

ham

a l cu a l cu

i i

hamsam hamsam

ecu e u ecu e u


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Mach e ear or A t s a ost c el ess

re ct o

e era

B rth a

l

cal

ata to

ro e

A thors Dya i eterso ∗† A l at o s Meharry Me ical Colle e b ect e his stu y aims to e aluate the easibility o e elopi machi e lear i M mo els or early i e ti catio o Autism Spectrum Disor er ASD usi real- orl electro ic health recor EH ata he ce tral research uestio is Ca i te rati o -cli ical a cli ical ariables i to machi e lear i mo els e ha ce ASD risk pre ictio a support timely i e ti catio i pe iatric healthcare se i s Metho s his pro ect ill use the Me Star Health AIM-AHEAD Data Bri e AADB hich i te rates electro ic health recor s EH s rom hospitals a more tha care sites i the mi -Atla tic re io he ataset i clu es structure a semi-structure pe iatric health i ormatio suitable or trai i machi e lear i M mo els to support early i e ti catio o Autism Spectrum Disor er ASD e ill impleme t super ise M classi catio mo els i clu i o istic e ressio a om orest Boost a Support ector Machi es S M es lts his pro ect is likely to result i accurate i e ti catio o ASD risk throu h a per orma ce-bala ce M al orithm rom birth cli ical a co te t ata e e pect the mo el to ha e oo pre icti e per orma ce A C a co siste t accuracy bala ce accuracy he applie to i ere t eco omic a populatio roups I e pect that importa t pre icti e actors ill be I estatio al a e birth- ei ht mater al health co itio s a i sura ce type ptimally utili i SHA -base i terpretability the pro ect ill pro uce u ersta able tra spare t i si hts share ith cli icia s a policy-makers o precursors o e elopme tal i culties Despite this these i s ill support the otio that ata- ri e bala ce a broa ly applicable strate ies ca be applie to attempt to impro e timely a co siste t ia osis across patie t roups o chil re ith autism i pe iatric care se i s o cl s o s act his pro ect co tributes to precisio public health by a ressi i ere ces i ASD i e ti catio particularly amo patie ts ith limite access to care By i te rati o cli ical co te tual actors ith cli ical a birth ata the stu y supports impro e early scree i a i orms e ha ceme ts to pe iatric e elopme tal care path ays i i s may also i orm policy iscussio s re ar i sta ar i e e elopme tal scree i practices rom a i o atio sta poi t this proposal i tro uces a multimo al per orma ce-au ite M rame ork or euro e elopme tal risk pre ictio he combi atio o i terpretable AI structure EH ata a co te tual eatures represe ts a mea i ul a a ceme t o er tra itio al scree i tools uture e pa sio s may i corporate e omic ata a u structure EH te t to buil a more comprehe si e pre icti e system that supports co siste t e elopme tal health outcomes across patie t roups e

or s ASD pre icti e mo eli

rese ter †Correspo orres o

i

author

pe iatric

rese ter Dya i eterso

A thor Dya i eterso

54

al

pete

mmc e u

al

pete

mmc e u


Abstract Booklet A

AIM-AHEAD Southeast MMC Hub Symposium

sk A a t e a et ra e ork or er c e t take ste s

M

e erate

am hosh† Dr A thors Char isha A ubuike ∗ Dr Cha er ee A l at o s Meharry Me ical Colle e

uspita

ar es

r t cal

b ect e his stu y proposes a e elops a risk-a apti e sa ety rame ork to e aluate the reliability a sa ety-i orme uality o M- e erate summaries use i iole ce-relate i take systems Metho s Sy thetic sa ety-i orme i take sce arios ere create to re ect real- orl cases or each sce ario a M e erate a co cise summary e the applie a risk-a apti e sa ety mo ule that compares each summary to the ori i al arrati e usi rule-base a pa er -base checks i clu i stri matchi a re ular e pressio s he rame ork checks or halluci ate etails missi or mi imi e iole ce-relate i ormatio i correct ames co tra ictio s a o sa ety-i orme la ua e es lts he system e erate automate sa ety a s a assi e each summary a risk le el lo me ium or hi h co cer e obser e recurri issues such as omi e sa ety etails ame i co siste cies a abricate co te t o cl s o s act hese i s emo strate that a i terpretable sa ety layer ca support the respo sible use o Ms i hi h-se siti ity i take se i s ather tha replaci huma o ersi ht this approach pro i es a e tra layer o protectio by i e ti yi pote tially harm ul or u reliable outputs his approach is particularly rele a t i commu ity-base public health systems here e suri sa e a co siste t use o AI is critical or protecti priority populatio s e or s ar e a ua e Mo els Ms ublic Health Sa ety- ocuse Care Arti cial I telli e ce Sa ety iole ce re e tio atural a ua e rocessi

∗

rese ter †Correspo i orres o A thor Dr

author rese ter Char isha A ubuike am hosh

55

a l char isha a ubuike mmc e u a l u hosh mmc e u


Abstract Booklet A

AIM-AHEAD Southeast MMC Hub Symposium

sk A a t e a et ra e ork or er c e t take ste s

M

e erate

am hosh† Dr A thors Char isha A ubuike ∗ Dr Cha er ee A l at o s Meharry Me ical Colle e

uspita

ar es

r t cal

b ect e his stu y proposes a e elops a risk-a apti e sa ety rame ork to e aluate the reliability a sa ety-i orme uality o M- e erate summaries use i iole ce-relate i take systems Metho s Sy thetic sa ety-i orme i take sce arios ere create to re ect real- orl cases or each sce ario a M e erate a co cise summary e the applie a risk-a apti e sa ety mo ule that compares each summary to the ori i al arrati e usi rule-base a pa er -base checks i clu i stri matchi a re ular e pressio s he rame ork checks or halluci ate etails missi or mi imi e iole ce-relate i ormatio i correct ames co tra ictio s a o sa ety-i orme la ua e es lts he system e erate automate sa ety a s a assi e each summary a risk le el lo me ium or hi h co cer e obser e recurri issues such as omi e sa ety etails ame i co siste cies a abricate co te t o cl s o s act hese i s emo strate that a i terpretable sa ety layer ca support the respo sible use o Ms i hi h-se siti ity i take se i s ather tha replaci huma o ersi ht this approach pro i es a e tra layer o protectio by i e ti yi pote tially harm ul or u reliable outputs his approach is particularly rele a t i commu ity-base public health systems here e suri sa e a co siste t use o AI is critical or protecti priority populatio s e or s ar e a ua e Mo els Ms ublic Health Sa ety- ocuse Care Arti cial I telli e ce Sa ety iole ce re e tio atural a ua e rocessi

∗

rese ter †Correspo i orres o A thor Dr

author rese ter Char isha A ubuike am hosh

56

a l char isha a ubuike mmc e u a l u hosh mmc e u


57


Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

PrivacyPreser in A & Secure ealt n astructure

58


Abstract Booklet r ac reser ealth e s

AIM-AHEAD Southeast MMC Hub Symposium e erate

ear

or hro c

sease

sk re ct o

o

A thors Mert Sekme ∗ ia yua ao See-Mo a Christopher o es Arama Amy ichar so Ali Sekme † A l at o s a ea C Meharry Me ical Colle e Siloam Health

t la amesh

b ect e Chro ic iseases such as iabetes isproportio ately a ect patie ts ith limite access to care yet commu ity-base healthcare or a i atio s are o te u able to utili e their lo itu i al ata or a a ce a alytics ue to pri acy re ulatory a i rastructure co strai ts ri acy-preser i e erate lear i ith homomorphic e cryptio o ers a scalable approach to e able secure multi-site mo el e elopme t ithout shari se siti e patie t ata he ob ecti e is to e elop a e aluate a pri acy-preser i e erate lear i rame ork ith homomorphic e cryptio or chro ic isease risk pre ictio i commu ity health se i s speci cally ocusi o i e ti yi patie ts ith ele ate likelihoo o poorly co trolle iabetes HbA c Metho s Sy thetic patie t recor s ere e erate usi Sy thea to simulate i i i uals i ash ille Data ere tra s orme ia a simpli e E pipeli e i to bser atio al Me ical utcomes art ership M ormat to mimic the CHI AIM-AHEAD research structure o e ha ce cli ical realism e i corporate stochastic isease pro ressio re ecti me icatio a here ce aps a cli ical i ertia as u ctio s o Social ul erability I e S I ui tiles li ke ia I co e e erati socially i orme patie t tra ectories I clusio as restricte to a ults ith a i e HbA c recor e uri routi e primary care e cou ters a at least o e ollo up ithi mo ths he primary outcome as HbA c ithi mo ths Mo el eatures e e ith cli ical part ers i clu e emo raphic cli ical a social risk actors A e erate lear i rame ork usi homomorphic e cryptio e SEA e able secure trai i across three istribute sites coor i ate by a ce tral ser er ith eployme t ia Docker S arm es lts A total o simulate patie ts met i clusio criteria he o erall pre ale ce o poor iabetes co trol as he e erate mo el achie e a A C o a -A C o comparable to ce trali e trai i A C -A C rai i time as appro imately lo er ue to e cryptio o erhea o cl s o s act his ork emo strates the easibility o pri acy-preser i e erate lear i or i e ti yi hi h-risk patie ts ith chro ic co itio s i commu ity-base healthcare se i s ithout shari se siti e ata he propose rame ork supports secure multi-site mo el e elopme t a may help e pa access to a a ce a alytics i resource-limite se i s oi ork ocuses o ali atio ith sy thetic ata completio o M E pipeli es a eployme t o S -supporte clou i rastructure e or s e erate lear i ri acy-preser i Commu ity health Homomorphic e cryptio

∗

rese ter orres o

†Correspo

i author A thor Ali Sekme

AI Chro ic isease risk pre ictio

rese ter Mert Sekme

59

a l mert sekme pa eatech ai a l sekme pa eatech ai


Abstract Booklet A e– lo er ces

AIM-AHEAD Southeast MMC Hub Symposium tell e t

ber

rastr ct re or eal

e, r ac

reser

ealthcare

A thors am hosh∗† A l at o s Meharry Me ical Colle e b ect e he healthcare i ustry is u er oi a si i ca t i ital tra s ormatio ri e by Io tech olo ies lea i to a ramatic i crease i me ical ata hile tra itio al clou computi ca e ecti ely process this ata or hi h- uality care it aces challe es relate to late cy ata pri acy a security A itio ally ata shari amo healthcare i stitutio s is complicate by eo raphical ispersio aryi ethical sta ar s a risks o ata breaches o a ress these challe es a robust a secure rame ork is esse tial or acilitati ata shari hile e suri pri acy his talk i tro uces a i o ati e e e clou i telli e t cyberi rastructure esi e or e cie t secure a pri acy-preser i ata shari a processi i i telli e t healthcare systems he rame ork le era es so t are- e e et orks a i telli e t istribute e e clou tech olo ies to achie e the ollo i ob ecti es i I te ratio o i telli e t a alytics at e e ser ers e abli early classi catio o healthcare ata a i e ti catio o pote tial me ical co itio s iieal-time ser ice eli ery throu h et ork slici a coor i ate e e clou processi hich is critical or late cy-se siti e el erly care applicatio s re uiri rapi e ecutio o eep eural et ork D -base mo els to a ress emer e cies such as all etectio a car iac e e ts a Secure iii a pri acy-preser i ata shari usi blockchai tech olo ies a homomorphic e cryptio base e erate lear i Metho s he talk hi hli hts three real-time ser ice eli ery capabilities i pri acy-a are huma acti ity mo itori usi multimo al e e i telli e ce ith aussia -base isual ob uscatio a aussia spla i or a o ymi e D huma mo eli ii euro-symbolic multimo al AI that combi es eep lear i ith symbolic reaso i or robust a e plai able all etectio a beha ioral mo itori a iii emotio -a are health mo itori usi C -base probabilistic si al a alysis or perso ali e care I a itio the CAM S i itiati e is prese te as a real- orl e te sio o e e i telli e ce to auto omous ro e-base emer e cy me ical eli ery isaster respo se a rural healthcare access throu h e e clou computi a ear real-time IS isuali atio es lts

A

o cl s o s e

∗

or s

act A

rese ter †Correspo orres o

A

A thor

i

author am

rese ter

am

hosh

hosh

a l u hosh mmc e u a l u hosh mmc e u

60


Abstract Booklet A e t cA eso rce

AIM-AHEAD Southeast MMC Hub Symposium

able ortable te ealthcare

ste or A to o o s r a e a ro e ts

A thors Debashis Das ∗ achaira a A l at o s Meharry Me ical Colle e

rum

ushpita Cha er ee

o t

o s Mo tor

am

hosh†

b ect e his stu y aims to e elop a portable i telli e t a secure healthcare system that e ables auto omous tria e a real-time mo itori usi a e tic AI speci cally esi e or resource-limite a y amic cli ical e iro me ts Metho s e propose the ortable esource- imite Casualty ria e Care System hich i te rates hetero e eous earable biose sors e e computi a AI- ri e ecisio support he system employs si al-processi pipeli es a machi e lear i mo els or y amic tria e scori a co ti uous ital-si a alysis A e tic AI e ables a apti e ecisio -maki hile e e- rst i telli e ce e sures lo -late cy operatio Security primiti es are embe e to sa e uar a ai st cyber threats a a ersarial a acks A comprehe si e ali atio rame ork is esi e usi real- orl atasets simulatio sce arios a per orma ce metrics to e aluate system reliability accuracy a robust ess es lts E perime tal e aluatio s emo strate that the propose system si i ca tly impro es tria e accuracy respo se time a situatio al a are ess i resource-limite se i s he i te ratio o e e i telli e ce a secure commu icatio e ha ces resilie ce a ai st isruptio s a cyber ul erabilities he system pro i es co te t-a are cli ical recomme atio s supporti ro tli e healthcare pro i ers i critical ecisio -maki o cl s o s act his ork i tro uces a e t- e eratio AI-e able healthcare plat orm that combi es auto omous tria e co ti uous mo itori a secure e e i telli e ce It pro i es a scalable a resilie t solutio or isaster respo se remote healthcare a military me ici e hile establishi a replicable rame ork or uture i telli e t cli ical systems i resource-co strai e e iro me ts e or s A e tic AI Healthcare esource- imite E iro me ts

∗

rese ter †Correspo orres o A thor

i

ria e Systems E

author rese ter Debashis Das am hosh

61

e Computi

Biose sors

a l ebashis as mmc e u a l u hosh mmc e u


Abstract Booklet r ac A are Aca e

AIM-AHEAD Southeast MMC Hub Symposium c

sk

tell e ce

ste

A

A thors Bria C Stro ∗ Dr Asmah Muallem† A l at o s Meharry Me ical Colle e b ect e e i eeri

his capsto e as esi e as a system supporti e erate -style mo eli a recomme atio

risk pre ictio ork o s

eature

Metho s A IS as e elope i Streamlit to support si le- ataset a multi- ataset ork o s A ataset i telli e ce a harmo i atio tool ali s schema i ere ces bala ces ataset i ue ce a e erates e i eere eatures to impro e per orma ce Mo el trai i uses a pri acy-a are e erate -style Boost-i spire pipeli e ith threshol tu i a ali atio -base optimi atio A Decisio A re atio Al orithm DAA combi es mo el probabilities ith rule-base aca emic i icators to pro uce a isor-rea y risk tiers co e ce le els a recomme atio s er orma ce as e aluate usi Accuracy Score a C A C across sy thetic be chmark aca emic per orma ce stu e t ma a eme t a combi e atasets es lts he sy thetic ataset pro uce be chmark per orma ce Accuracy CA C he aca emic per orma ce ataset sho e eaker sta alo e si al Accuracy CA C he stu e t ma a eme t ataset sho e stro ra ki per orma ce but lo er threshol bala ce because o class imbala ce Accuracy CA C he combi e - ataset co itio pro uce the most bala ce practical result Accuracy CA C o cl s o s act he combi e - ataset co itio pro uce the most e e sible real- orl results ith bala ce per orma ce across measures Accuracy CA C erall A IS emo strates ho a pri acy-a are ashboar ca harmo i e multi-source stu e t ata apply e erate -style pre icti e mo eli a ecisio a re atio a e erate a isor- aci risk tiers a recomme atio s to support earlier i ter e tio a stu e t success processes e or s aca emic risk pre ictio stu e t rete tio pri acy-a are a alytics e erate lear i eature e i eeri ecisio a re atio al orithm e ucatio al ata mi i ecisio support ashboar

∗

rese ter †Correspo orres o

i

author

rese ter Bria C Stro

A thor Dr Asmah Muallem

a l Bria Stro

mmc e u

a l Asmah Muallem mmc e u


63


Abstract Booklet

A

AIM-AHEAD Southeast MMC Hub Symposium

cat o , ork orce

o

t a e e t

65


Abstract Booklet ata etect es tco e ar at o

AIM-AHEAD Southeast MMC Hub Symposium o er M hro h B

le chool t ata

e ts a

eachers to

lore

ealth

A thors Dr re ar ieu ∗ Dr i a a i Dr oh ra is Ms elly Brock ay A l at o s Ale a ria City ublic Schools eor e ashi to i ersity ir i ia State i ersity b ect e he pro ect aims to e coura e mi le school stu e ts to e isio themsel es i S EM career roles I collaboratio ith the Ale a ria Health Departme t stu e ts i the A ter-School S EM club ill lear about the applicatio o bi ata a epi emiolo y i real- orl situatio s Metho s ur ocus as o i clu i all mi le school stu e ts i a A ter-School S EM Club Alo ith the e posure to ha s-o acti ities e i clu e basic back rou i ormatio o ho some o this e uipme t coul be use i careers especially i the healthcare el he Ale a ria Health Departme t oi e this e ort a is pro uci short e ucatio al i eos that etail ho they use bi ata to help protect our city rom outbreaks o iseases heir i eos ill also hi hli ht the importa ce o co tact traci i etermi i the source o the isease outbreak his i ormatio bri s home the importa ce o computer ata i a real- orl authe tic ay Stu e ts lear ho careers i healthcare are ar-reachi a ha e umerous ee s si ualtrics so t are our stu e ts ere perio ically sur eye to etermi e their i terest a perspecti e o S EM careers es lts ur i s re eal that hile stu e ts are hi hly com ortable usi smartpho es they lack co e ce i e a i ith more a a ce tech olo ies such as irtual reality D pri ti a robotics his hesitatio is primarily a ribute to limite e posure a ha s-o e perie ce ith these tools I teresti ly he aske to e e the acro ym S EM ery e stu e ts coul pro i e a accurate a s er Despite this ech olo y emer e as the most popular area o i terest ollo e by E i eeri a Mathematics o cl s o s act ur research i icates that stu e t i terest ro s i irect proportio to their e posure a u ersta i o a sub ect here is a critical ee to shi t to ar real- orl applicatio s that allo stu e ts to a aly e a i terpret ata sol e problems a make i orme ecisio s base o e i e ce e or s S EM careers A ter-School S EM club Bi ata Ha s-o acti ities irtual reality obotics ech olo y i terest eal- orl applicatio s Data literacy eacher trai i

∗

rese ter

rese ter Dr

re

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al

66

re ory tar ieu acps k

a us


Abstract Booklet ear

a

A

AIM-AHEAD Southeast MMC Hub Symposium l

A Metho s to

A thors Marya Maso ∗ elch i ua iu A l at o s orth ester ublic Health

i

e

i ersity

bl c

ealth

hilip Ma eor e

ashi

ata

eslie to

ise Me a

och

ori ost Sarah

i ersity Illi ois Departme t o

b ect e acilitate the tra s er o AI skills rom eor e ashi to a orth ester i ersities to the Illi ois Departme t o ublic Health se AI metho s to impro e o er ose mortality pre e tio Buil commu ity capacity a i rastructure i AI metho s to a ress commu ity health ee s a challe es Metho s he pro ect is split i to pla i a impleme tatio phases hase i clu es commu ity-e a e research metho s or buil i a collaborati e part ership a e orts to le el the playi el ith a short course trai i i AI skills or the public health ork orce E a eme t metho s i clu e share lea ership ecisio maki collecti e oal se i a a cole pilot a alysis pro ect he pilot pro ect utili e AI metho s i clu i D a AI utcomes i clu e associatio s bet ee commu ity eatures a ol er a ult suici e poiso i eaths AI metho s ocuse o DD a impact a alysis utcomes i clu e Ma Absolute Error oot Mea S uare Error a Mar i al E ects es lts Accomplishme ts so ar A cohesi e lea ership team ith multiple u i ersity a health epartme t represe tati es e ular meeti s ith ull team participatio he eli ery o a our sessio AI skills e elopme t course or public health epartme t employees ith re istra ts ilot pro ect e ami i the relatio ship bet ee commu ity e iro me t eatures a ol er a ult suici e poiso i eaths early i s i icate e ca etect ariatio i ecreases i ol er a ult poiso i suici e base o cha i the e sity o selecte commu ity eatures a associatio s i ere tiate base o commu ity populatio compositio o cl s o s act Collaboratio is key to success ul e a eme t I ter-i stitutio al relatio ships ee time a a e tio to accomplish ecessary re ulatory tasks I terest i a i estme t opportu ities or bri i AI i to public health are hi h ilot i s be i to help us u ersta the ma itu e o e pecte cha e by alteri commu ity e iro me t ur part ership has emo strate pote tial or this approach i e pa i the use o AI i public health se i s e or s AI a public health health part ership

∗

rese ter

rese ter Marya

ork orce e elopme t o er ose pre e tio

Maso

a l marya

67

-maso

u i ersity-public

orth ester e u


Abstract Booklet ar ess e sa

AIM-AHEAD Southeast MMC Hub Symposium

the o er o A to ste s

r e

er ose re e t o

or

l er A

lts

bl c

ealth

ost Sarah elch i ua iu hilip MA Me a och A thors Marya Maso ∗ or A eslie ise i e † A l at o s orth ester ei ber School o Me ici e Departme t o Emer e cy Me ici e Buehler Ce ter or Health olicy a Eco omics Illi ois Departme t o ublic Health eor e ashi to i ersity b ect e his pro ect pursues three i terco ecte ob ecti es acilitate the tra s er o AI skills rom eor e ashi to a orth ester i ersities to the Illi ois Departme t o ublic Health ID H use AI metho s to impro e substa ce use outreach a ser ice eli ery or ol er a ults a buil commu ity capacity a i rastructure i AI metho s to a ress commu ity health ee s a challe es Metho s he pro ect employs a collaborati e part ership eaturi share lea ership a collecti e oal se i split i to pla i a impleme tatio phases A e ploratory research esi utili es AI metho s i clu i u super ise machi e lear i atural la ua e processi M-base ero-shot lear i S a AI pportu ities to apply stu y i s ithi ID H-coor i ate o er ose pre e tio ser ices are collaborati ely mappe Data are eri e rom the Illi ois State i te tio al Dru er ose eporti System I -S D S a multi-state system coor i ate by the Ce ters or Disease Co trol a re e tio throu h the er ose to Actio I itiati e S D S co tai s o er structure ariables a arrati e accou ts summari i e e ts lea i to atal o er oses es lts Accomplishme ts to ate i clu e a cohesi e lea ership team ith multiple u i ersity a health epartme t represe tati es re ular meeti s ith ull team participatio a eli ery o a our-sessio AI skills e elopme t course or public health epartme t employees ith re istra ts A pilot pro ect e ami i the relatio ship bet ee commu ity e iro me t eatures a ol er a ult suici e poiso i eaths i icates e ca etect ariatio i ecreases i ol er a ult poiso i suici e base o cha i the e sity o selecte commu ity eatures ith associatio s i ere tiati base o commu ity populatio compositio o cl s o s act Collaboratio is key to success ul e a eme t I ter-i stitutio al relatio ships re uire time a a e tio to accomplish ecessary re ulatory tasks I terest i a i estme t opportu ities or bri i AI i to public health are hi h ilot i s help us u ersta the ma itu e o e pecte cha e by alteri commu ity e iro me t his part ership emo strates pote tial or e pa i the use o AI i public health se i s e or s Arti cial I telli e ce Deep eural et orks ar e a ua e Mo els E plai able AI o er ose pre e tio ol er a ults public health substa ce use Illi ois S D S

∗

rese ter †Correspo orres o

A thor

i

author i

rese ter Marya

e

Maso

a l marya al

68

i

e

maso

orth ester e u

orth ester e u


Abstract Booklet a t a er s as arl s e erat e A A thors

lu atomisi

AIM-AHEAD Southeast MMC Hub Symposium cators o

e rolo cal o

i amo ore a∗ Dr ulie D

A l at o s Marymou t

to s A ies Dr

thet c atha

at

eo

ataset

ree †

i ersity

b ect e ait pa er s ca ser e as early i icators o eurolo ical co itio s such as arki so s isease a eme tia Ho e er collecti a shari lar e-scale i eo ait atasets is challe i ue to patie t pri acy a re ulatory co strai ts I this paper e propose a alter ati e approach usi e erati e AI to create a sy thetic ataset o ait i eos that captures key ait ab ormalities hile preser i pri acy e e erate more tha i eos epicti arious types o ait u er arious emo raphic a e iro me tal co itio s A e pert cli icia a otate a subset o these i eos i to our cate ories e outli e the back rou li ki ait a health iscuss relate ork i ait a alysis a ata shari a escribe our metho olo y or sy thetic ata e eratio usi a te t-to- i eo mo el he prelimi ary results o a reeme t bet ee the a otate ata a the e erate i eo is hich is abo e the le el o ra om cha ce or our classes but still ar rom per ect his emo strates that the sy thetic ataset ca be use to uickly scree lar e umbers o i eos a i e ti y likely e amples or e pert re ie e abli a semi-super ise approach to buil i lar er atasets he sy thetic ataset hich e pla to publicly release o ers a pri acy-preser i resource to a a ce ait a alysis research allo i reater collaboratio ithout the barriers o patie t-i e ti yi ata I co trast to other tech i ues these i eos also allo ull-bo y results hich mi ht ope a itio al a e ues o research i co trast to atasets that release o ly skeletal ata poi ts Metho s e e erate ait i eos usi the pe Art plat orm hich pro i es access to a state-o -the-art te t-to- i eo i usio mo el ByteDa ce See a ce his mo el takes a te tual prompt that escribes a sce e a pro uces a short i eo about seco s lo that matches the escriptio e cra te prompts to epict a i i i ual alki ith a speci c ait pa er alo ith co te tual etails e iro me t camera a le etc as e umerate belo or e ample a arki so ia ait prompt as i eo o a el erly perso ith arki so ia ait alki slo ly ith short shu i steps a hu che posture i a ell-lit hospital corri or he e erati e mo el the outputs a i eo clip here the sy thesi e character e hibits the esire ait eatures es lts he a otatio achie e a o erall accuracy o o the test set Althou h this accuracy is abo e the ra om cha ce le el or our e ually likely classes it is lo e ou h that e oul ot su est usi the i eos ithout a orm o semi-super ise collectio ith a e pert i the loop It i icates that urther prompt re eme t is ee e he co usio matri or the a otatio results sho s the actual class ersus a otate class ith ia o al alues re ecti correct a otatio s o cl s o s act e prese te a o el metho olo y that i tro uce a i o ati e approach or creati a sy thetic ait i eo ataset or machi e lear i by employi a te t-to- i eo i usio mo el By capturi key pa er s o ait isor ers e a oi the co e tio al pri acy a ata-shari challe es that limit research i this el ur prelimi ary i s su est that the sy thetic i eos are realistic e ou h to allo e pert cate ori atio e propose that this sy thetic ataset ca u ctio as a uick scree i tool ithi a semi-super ise rame ork thereby re uci the time a e ort re uire or curati hi h- uality ata ia i -perso stu ies e ill publicly release the ataset a a otatio protocol o itHub to establish a share be chmark or urther commu ity e elopme t e or s Sy thetic Data e eratio M i eo Machi e ear i ait A alysis rese ter †Correspo i author orres o A thor Dr atha

rese ter ree

lu atomisi

69

i amo ore a

a l oa al ree

marymou t e u marymou t e u


Abstract Booklet te rat l o l cat o s

AIM-AHEAD Southeast MMC Hub Symposium cal re ct e Mo el B r at e ts

a

a e Base A al s s to

A thors Dr a orchia Da is ∗ Dr a irah Moh A l at o s Meharry Me ical Colle e

e t

Bo e

ealth

hairi

b ect e o e elop a multimo al rame ork that i te rates cli ical pre icti e mo eli ima i -base a alysis to i e ti y a pre ict bo e health complicatio s e ractures a osteomyelitis i bur patie ts

a

Metho s his stu y use a multimo al a alytical rame ork combi i cli ical pre icti e mo eli a ima i -base a alysis he cli ical compo e t a aly e a AI- e erate sy thetic ataset o bur patie t recor s usi a om orest Classi er pre icti e mo eli a ri cipal Compo e t A alysis CA to i e ti y actors associate ith ractures a osteomyelitis he ima i compo e t a aly e a -slice Compute omo raphy C sca rom a racture limb ataset co tai i o er C ima es Deep lear i base eature e tractio as per orme usi es eta i orm Ma i ol Appro imatio a ro ectio MA as applie to isuali e structural ariatio ithi the C slices es lts he a alysis i e ti e bur se erity i e bo e ama e score uratio o hospital stay comorbi ity score a treatme t material properties as the stro est pre ictors o racture risk a osteomyelitis e elopme t A itio ally the C slice embe i s pro uce throu h the eep lear i mo el orme isti ct a atomical clusters i icati that the mo el success ully capture mea i ul structural pa er s that may support automate bo e health assessme t o cl s o s act he multimo al approach combi i cli ical a C ima i ata emo strates stro pote tial or impro i early etectio o bur -relate skeletal complicatio s a a ressi aps i i te rate bo e health pre ictio e or s Bur I ury Bo e Health Multimo al AI Compute omo raphy C DIC M Ima i re icti e Mo eli CA MA es etsteomyelitis ractures Biome ical Data Scie ce

∗

rese ter

rese ter Dr

a orchia Da is

al l a i

70

mmc e u


Abstract Booklet e e

o

er

AIM-AHEAD Southeast MMC Hub Symposium e tal a

l

cal t

es o Bo

e etal olla e A

l cat o

A thors Mehul Satish rabha ∗ or a oh so Da iella i Clau y Sarpo Barite utama ra kli er ou is Emma uel ia as achel al e illiam C i ea ea er† A l at o s a erbilt i ersity b ect e o e aluate the a ailable cli ical a precli ical e i e ce o etal bo i e colla e BC -base ermal sca ol s i ou heali a so t tissue reco structio a ressi a ap i the literature here e isti re ie s o ot isolate BC-speci c outcomes Metho s A systematic re ie as co ucte per ISMA ui eli es I collaboratio ith i stitutio al me ical libraria s a comprehe si e search as e ecute across our atabases al search o ember Eli ible stu ies i clu e cli ical a imal e i o a i itro i esti atio s publishe rom e aluati BC i isolatio or compare to other biolo ic sca ol s Due to substa tial hetero e eity i esi i icatio s a outcome reporti arrati e sy thesis as per orme i lieu o meta-a alysis es lts i e ti e stu ies met i clusio criteria cli ical a precli ical represe ti si cou tries he pre omi a t i icatio as chro ic ou heali particularly iabetic oot ulcers a e ous stasis ulcers ith o e stu y e ami i breast reco structio Commo ly reporte outcomes i clu e proportio o ou s heale a time to heali recli ical stu ies emo strate a orable structural i te ratio cellular i ro th a lo i ammatory respo se across mo els o cl s o s act BC-base ermal sca ol s sho promisi re e erati e pote tial across a i e ra e o ou care a reco structi e applicatio s supporte by both cli ical a e perime tal e i e ce e ertheless hetero e eity i stu y esi a outcome reporti preclu es e iti e e i e ce-base recomme atio s his re ie establishes a ou atio al sy thesis o BC-speci c literature a u erscores the ee or prospecti e comparati e trials to ui e cli ical ecisio -maki a optimi e patie t outcomes e or s etal bo i e colla e acellular ermal matri ou heali ermal sca ol systematic re ie iabetic oot ulcer so t tissue reco structio re e erati e me ici e

∗

rese ter †Correspo i author rese ter Mehul Satish rabha orres o A thor illiam C i ea ea er

a l mprab mmc e u a l illiam c li ea ea er

umc or


Abstract Booklet stabl sh e lator research co sort

AIM-AHEAD Southeast MMC Hub Symposium o

A thors aish a i Sa alkar i ock Dr a bir Si h

l a ce

ce a

oh

essica yo s Sara

ies

ts

act

AMA

A

Stie ecker Dr

lt

st t t o al A M

iya Basha

illiam

A

A l at o s Meharry Me ical Colle e b ect e he e ulatory Complia ce ce C i the AIM-AHEAD co sortium is establishe ith a primary oal to track store a mai tai re ulatory etermi atio s a ata a reeme ts or AIM-AHEAD u e research pro ects A itio ally the C aims to e pe ite ata access timeli es or a ar ees by pro i i tailore co sultatio support to a ress a ar ee-speci c challe es Metho s I ro ram ear o the AIM-AHEAD co sortium C as establishe ith members Director our Co- irectors represe ti isti ct hubs a cores ith I B re ulatory a ata e pertise to acilitate the early achie eme t o ob ecti es C also recruite a re ulatory complia ce ma a er a re ulatory complia ce assista t to support the a ar ees ith re ulatory processes C e elope sur ey i strume ts a collecte re uire i ormatio rom a ar ees I itially oo le Sheets a oo le Dri e ol ers ere utili e to track a store re ulatory milesto es I ear Smartsheet plat orm as i tro uce to create a ce trali e secure stora e system or re ulatory tracki i ormatio a ocume tatio stora e he C mai tai e a email i bo rco aim-ahea et a a Help Desk o AIM-AHEAD Co ect to support a ar ees he impact o C as measure by timeli e to ata access usi i ormatio obtai e i as baseli e ata umber o co sultatio s a Help Desk acti ity es lts e ulatory tracki timeli es sho e a o erall ecrease i time to re ulatory milesto es I B etermi atio a Data A reeme t compari a or I B Determi atio s the a era e a me ia ecrease by a respecti ely or Data A reeme ts the a era e a me ia ecrease by a respecti ely I C recei e re uests rom September u e ith respo se time impro i rom ays to ays I C recei e re uests rom September to u e ith respo se time impro i rom ays to ays Compari a this represe ts a i crease i re uests a impro eme t i respo se time to ays respo se o cl s o s act he impro eme ts i re ulatory milesto e completio rom to re ects the impact o the C i supporti i esti ators i accessi research ata he ata ee e or timeli e a alysis is o oi a ill be i clu e i the al poster I crease Support re uests a resse by the C i compare to re ects a success o the C s oal to support the ro i umber o co sortium a ar ees a trai ees Despite the i crease umber o re uests the C impro e respo se time i resol i support ueries i ear his sho cases the success o the C to promptly respo to a resol e re uests or support rom the arious stakehol er roups Si ce its i ceptio the C has playe a role i impro i research ata access timeli es or a ar ees he support pro i e by C to the co sortium ill co ti ue to impro e base o lesso s lear e rom pre ious pro ram years hich ill help ui e the C s o oi e ort to support curre t a uture pro ram a ar ees

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

A o at e e lator A M research co sort

o

A thors aish a i Sa alkar i ock Dr a bir Si h A l at o s

l a ce oh

ies

ce Mo el a

ts

essica yo s Sara

act

AMA

Stie ecker Dr

A

lt or a

iya Basha

at o al

illiam

Meharry Me ical Colle e

ro ra er e he e ulatory Complia ce ce s C primary oal is to track store a mai tai re ulatory etermi atio s a ata a reeme ts or AIM-AHEAD u e research pro ects C aims to optimi e ata access timeli es throu h tailore re ulatory support to a ress a ar ee-speci c re ulatory challe es a e e ta art ersh s C pro i es e ucatio a re ulatory support to all u e i esti ators a stakehol ers i ro ram ear a pre ious co ti ui pro rams C s members Director our Co- irectors CM CA e sure prompt comprehe si e re ulatory support to acilitate i esti ators research ob ecti es C mai tai s a i bo rco aim-ahea et a a Help Desk o AIM-AHEAD Co ect he impact o C is measure by timeli e to ata access usi as baseli e ata umber o co sultatio s a support re uests Ach e e e ts a hl hts e ulatory tracki timeli es ecrease i all years compare to baseli e Compare to I B etermi atio a era e a me ia ecrease by a respecti ely Data A reeme t a era e a me ia ecrease by a ue to a me ia o ays respecti ely I C recei e re uests September u e respo se time impro e rom to ays respo se I re uests September to u e respo se time impro e rom to ays I re uests rom ctober - May ith a respo se time impro i rom to ays respo se Compari a this represe ts a ecrease i re uests impro eme t i respo se-time I C eli ere tar ete e ucatio al prese tatio s compare to i a i crease I B prese tatio s mo thly pro ram check-i s a pre-recor e Mai tai i Complia ce A ter Appro al prese tatio s ere i tro uce i e rom

tco es, to

act, a o tr b t o s he impro eme ts i re ulatory milesto e completio re ects the impact o C i supporti i esti ators i accessi research ata

I C i crease proacti e support i itiati es compare to pre ious pro ram years C s respo se time has co ti ue to impro e i combi atio ith other support i itiati es sho cases the success o C to promptly resol e challe es aci stakehol ers halle es A ar ee o -respo se to C outreach re ar i re ulatory up ates pro ress a proacti e assista ce Hei hte e I B a le al scruti y o er AI M use a ata security A mi istrati e bo le ecks i clu i D A e otiatio s I B sta shorta es a elaye co tract appro als t re rect o s Support pro i e by C AIM-AHEAD ill impro e base o lesso s lear e rom pre ious pro ram years hese ill ui e C s e orts to support uture a ar ees a pro e be e cial or other co sortiums to e sure complia ce across all u e i esti ators

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

Keynote Spea er io rap ies


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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

a ar hara, h , Co-Director Me Star Health Chie o AI i Healthcare Applicatio s a eor eto i ersity Me ical Ce ter

Associate ro essor o Me ici e

Dr a ar Shara is a i ter atio ally reco i e AI lea er physicia scie tist a research e ecuti e ith more tha t o eca es o e perie ce tra slati arti cial i telli e ce ata scie ce a a a ce a alytics i to real- orl impact at scale Her ork sits at the i tersectio o ata me ici e tech olo y a populatio health ith a stro ocus o buil i the i rastructure a alytic systems a o er a ce rame orks ee e to eploy hi h-impact AI a bi ata solutio s i comple cli ical e iro me ts Dr Shara curre tly ser es as Chie o esearch Data Scie ce at Me Star Health esearch I stitute Chie o AI i Healthcare Applicatio s a Associate ro essor o Me ici e at eor eto i ersity Me ical Ce ter She is also the ou i Director o the oi t Me Star Health eor eto i ersity Ce ter or Arti cial I telli e ce i Healthcare esearch a rai i k o as AI Co ab a Co-Director o MH I s Ce ter or Biostatistics I ormatics a Data Scie ce Dr Shara lea s multiple e erally u e i itiati es i clu i IH- a C I-supporte pro ects ocuse o pre icti e mo eli lar e-scale ata i rastructure a AI-e able ecisio -support systems Her ork i clu es the e elopme t a impleme tatio o tools such as lar e la ua e mo el ri e chatbots or patie t care esi e to impro e access e cie cy a cli ical ecisio -maki Beyo healthcare Dr Shara a ises boar s o er me ts a i ter atio al i itiati es o AI strate y ork orce e elopme t a alytics e ucatio a o er a ce Her ork i creasi ly ocuses o ho AI a i ital public i rastructure ca promote i clusi e ro th stre the cross-bor er collaboratio a tra e a e pa eco omic participatio i resource-co strai e a rapi ly e elopi re io s

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Abstract Booklet

AIM-AHEAD Southeast MMC Hub Symposium

a kar as ta, h AI M A isor IEEE ello AI ello AIIA ello ro essor o Computer Scie ce Director o Ce ter or I ormatio i ersity o Memphis

Dr Dipa kar Das upta is the illiam Hill ro essor o Computer Scie ce at the i ersity o Memphis a ou i Director o the Ce ter or I ormatio Assura ce A i ter atio ally reco i e lea er i arti cial i telli e ce a cybersecurity he is k o or pio eeri co tributio s to bio-i spire computi i ital immu ity a secure AI systems He has authore o er publicatio s hol s multiple pate ts a has recei e more tha citatio s re ecti the lobal impact o his ork Dr Das upta is a ello o IEEE the atio al Aca emy o I e tors a has bee reco i e as a ACM Disti uishe Speaker His ho ors i clu e the resi e tial A ar or i etime Achie eme t i esearch a the ACM SI E Impact A ar ith more tha three eca es o lea ership i multi iscipli ary e erally u e research he co ti ues to a a ce AI- ri e solutio s across scie ce a e i eeri His curre t ork ocuses o the reliability security a trust orthi ess o AI particularly i hi h-stake omai s such as health care emphasi i accou tability e plai ability a ri orous e aluatio o emer i tech olo ies i clu i lar e la ua e mo els

77


78


79


80


st o AMA A o theast b ello s ro ect A ar ees

81


A

A

Meharr

b A ar ees

A A ar ee

ame

I stitutio

umi i

ao

i ersity o Chica o

Heather

heeler

are Mou tai

re

ar ieu

osh Schilli

oyola

i ersity

Mi ra t Cli icia et ork Ale a ria City ublic Schools

ibre t Health

ro ect itle roteome- i e associatio a alysis o Al heimer s isease i A rica America s rai i a AI M ork orce roteome- i e associatio a alysis o Al heimer s isease i A rica America s o - a e Esse tial orker a emic a emic Me tal Health Crisis

ost

Data Detecti es Empo eri Mi le School Stu e ts a eachers to E plore Health utcome ariatio hrou h Bi Data Strati yi Health Care ariatio a Co tributi actors o Hi h Ca cer Death ates i ural Appalachia by AI M - acilitate EH Data A alytics

82

ro ram HS

HS

HS

HS

HS


A

o theast Meharr

b A ar ees

A 2 A ar ee

ame

ibhuti

upta

Do eyo Macari

I stitutio

ro ect itle i e a Mo ular rame ork or Multimo al Data I te ratio ith AI M Mo els to A ress ros Au me ti cli ical a co te tual health i ormatio i electro ic health recor s ata sources throu h machi e lear i approaches

Meharry Me ical Colle e

hio State

i ersity

A ressi Health ariatio i Heart ra spla t utcomes throu h obust AI M Approach

Bro

i ersity o orth Caroli a at Charlo e

u ier

li a

he i ersity o orth Caroli a at Chapel Hill

arl

alker

AD

re

ar ieu

Ale a ria City ublic Schools

De elopi a esearch Data epository or AIM-AHEAD e erate Datasets A Collaborati e Approach AI- or- eachers to Impro e AI eachi Capacity a repare A olesce ts i o - esource Commu ities or S EM-H Careers

Maria o ell

MC

E suri Ethical oice AI Data Collectio i Multili ual Multicultural E iro me ts

u ia

i ersity o e essee Cha a oo a

Cheryl

o atha

illiams

i ersity o ashi St ouis

Sambit Bha achary

aye e ille State i ersity

elesia Stukes

oh so C Smith i ersity

atha

ree

Marymou t i ersity

Huma

to

AI Collaborati e Systems or Be er Me ical Decisio Maki

e eratio o AI-e able Dia ostic a herapeutic Music rom Biometric Data to romote Me ical Ser ice Deli ery Assessi the easibility a e cacy o a AI M pipeli e esi e to impro e access to epilepsy specialists a care amo a patie t cohort i St ouis Missouri I creasi Capacity i Health utcome esearch throu h se-I spire esearch i Arti cial I telli e ce Buil i Capacity i Arti cial I telli e ce or Health utcomes esearch AI-HE s Marymou t i ersity AI ab or Health utcomes or ptimal A i i the Hispa ic Commu ity

83

ro ram CD

CD

CD

CD

DICB

HS

HS

HS

HS

AI

AI

AI


A

o theast Meharr

b A ar ee

A A ar ee

a e

Akter Sa ia

st t t o

Marshall

i ersity

Ale a

er Debi

Bro

Cheryl

i ersity o orth Caroli a Charlo e

i ham arle

East Caroli a i ersity

Cu

Do eyo Macari

S A C Solutio s

hio State

i ersity

upta

ibhuti

Meharry Me ical Colle e

arre

Crai

i ersity Hospitals Cle ela Di isio o Car iac Sur ery

ia

u

McCallister Mo i u

Mi er Stacy

Murphy Dia e

a k o ictor

i ersity o e essee at Cha a oo a e

essee State i ersity

i ersity Hospitals Cle ela Me ical Ce ter Cle ela hio

Marymou t

i ersity

Hospital oliet I patie t reatme t Ce ter a State o Illi ois Correctio al Health Care its

ro ect a

tle

co eri Asthma Disease Mecha isms i ati o A rica America opulatio s by applyi AI i Huma multi-omics ata

AI-empo ere art therapy i o atio or health outcomes i lo -resource se i s ArtAI A ressi ariatio i Heart ra spla t utcomes throu h obust AI M Approaches

ro ra

C

CD I o atio CD C

ISHI

i E C eri atal Me tal HS Health Au me ti Cli ical a Co te tual Health I ormatio i Electro ic Health ecor s Data CD C Sources hrou h Machi e ear i Approaches i e a Mo ular rame ork or Multimo al Data I te ratio ith AI M CD C Mo els to A ress rostate Ca cer utcome ariatio I clusio o Eco omic a Demo raphic actors i Deep ear i Mo els to Impro e Car io ascular C I A Disease isk Assessme t E ha ci Healthcare utcomes throu h ar e- a ua e- Mo el-E able Dia ostic a herapeutic Music Mo ality I e ti catio a Characteri atio o actors ariables ea i to A erse Health utcomes i esi e ts i i i Eco omically Co strai e Commu ities e era i Machi e ear i or the Comprehe si e Dia osis a Impro e reatme t o Autism Spectrum Disor er ASD

HS

C

C I A

E abli A i i lace ptimi i se o AI-E able ech olo y to Impro e uality o i e AI C or l er A ults by re e ti alls I tro uci AI M metho s to Correctio al Me ici e or e ha ce ata-rea i ess cli ical support a uality impro eme t

84

C I A


A A ar ee

a e

li a u ier amusi olu ala

a at

ul eep

o theast Meharr

st t t o ro ect tle i ersity o orth Caroli a Huma AI Collaborati e Systems or Be er at Chapel Hill Me ical Decisio -Maki i ersity Hospitals De elopi a AI Mo el or A aly i Cle ela Me ical Dermatoscopic Ima es ea i to the Early Ce ter-Case ester Detectio o Cuta eous -cell ymphoma i Ski eser e i ersity o Color A Stu y to A aly e A rica America rostate Ca cer e omics a ra scriptomic Data si Eli abeth City State AI a Machi e ear i to De elop E ecti e i ersity Dia ostic a ro ostic Biomarkers

Saha Shumit

Meharry Me ical Colle e

Si hal Ashutosh

Meharry Me ical Colle e

ar ieu

re

errell Debra

o

e

atasha o tusiak a us

b A ar ee

Ale a

ria City ublic Schools

oh so C Smith i ersity Ce ter or Commu ity Me tal Health eor e Maso i ersity

ro ra CD C

C I A

ABC-EE

De elopme t o a obust a Ethical Machi e ear i rame ork or Sleep Ap ea Dia osis

ABC-EE

De elopi a Ethical AI rame ork to A a ce Health utcomes at Meharry Me ical Colle e

ABC-EE

Data Detecti es Empo eri Mi le School Stu e ts a eachers to E plore Health utcome ariatio hrou h Bi Data e era i Arti cial I telli e ce a Machi e ear i AI M to Impro e Car iometabolic Health a Health utcomes e era i AI M to Impro e Cultural repare ess o Me tal Health ro essio als ech ical-Ethical E aluatio o Arti cial I telli e ce-base ools or Assessi I uries o arie Ski o es

85

HS

AI C

C I A

ABC-EE


A

o theast Meharr

b A ar ee

A A ar ee

a e

isher Alliso o

ale A

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Harris Da iel

st t t o Cle ela

Sekme

Ali

i kielstei

Carla

iles Bri

Maso

Eske a i Health i ersity o e tucky esearch ou atio

eterso

a

ea

Marya

orth ester

E IM Co sulti

AIM-AHEAD or pioi er ose a Beha ioral Health Ser ices si e erate Healthcare Data

C

ro ra C I A Cohort C I A Cohort e erate esearch et ork Cohort

Co iti e scree i usi automate speech a alysis the e ect o pre erre la ua e i Hub-Speci c bili ual Spa ish-E lish speakers ro ects ear

AI-E able Music herapy or Brai Disor er ehabilitatio ri acy- reser i e erate ear i or Chro ic Disease Detectio i Commu ity Health Se i s

Hub-Speci c ro ects ear Hub-Speci c ro ects ear

AI M - o ere Sur eilla ce a espo se or Hepatitis C I te rati Data Scie ce Epi emiolo y a e omic Data to E ha ce ublic Health utcomes

ir i ia ech

l Domi io

Dya i

i ersity

i ersity o e esssee at Cha a oo a

et

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tle

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ro ect

Applyi AI M to orecast commu ity health ee s a pla public pri ate resource allocatio i ersity to miti ate the impacts o stricter Me icai eli ibility rules Har essi the po er o AI to ri e o er ose pre e tio or ol er a ults i public health se i s i ersity a systems orth ester i ersity

C

Meharry Me ical Colle e

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or Sy emic isk ua ti catio Impact orecasti

Machi e ear i or Autism re ictio e era i Birth a Cli ical Data to Impro e Dia ostic imeli ess

esearch ello ship Cohort esearch ello ship Cohort


A2 Meharry SE Hub Memories Hispa ic commu ity AI literacy a a are ess hub-speci c pro ect

A co t a are ess a tra ro ra s e a 2 st e ts he outreach acti ities i tro uci mi le a hi h school stu e ts i Ale a ria City ublic Schools AC S to health i ormatics computi a AI throu h ha s-o collaborati e a i teracti e lear i e perie ces AC S represe ts a hi hly multicultural stu e t populatio ith co tr es a 2 la a es represe te i clu i Hispa ic Black a Asia stu e ts


88


89


esearch a o

l a ce o ce a el

90


91


AMA A terac cat o ro ra or h l re

92

s


93


95


96


97


Meharry Me ical Colle e

ash ille


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