Global Artificial Intelligence in Epidemiology Market is valued at USD 287.49 Million in 2021 and expected to reach USD 1815.48
Million by 2028 with a CAGR of 30.1% over the forecast period.
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The necessity for efficient prevention strategies and the creation of viable therapeutic options has increased with the rising burden of persistent illnesses . Market growth is being fuelled by government-backed initiatives, increased private and venture public investment, and the emergence of AI-focused start-ups globally.
Introduction
The use of Artificial Intelligence (AI) in epidemiology has been growing rapidly in recent years. With the rise of big data, AI has become an important tool for analyzing large datasets, detecting disease outbreaks, and predicting epidemics. In this article, we will explore the current market trends in the use of AI in epidemiology and how it is helping to improve public health outcomes.
What is Artificial Intelligence in Epidemiology?
Artificial Intelligence in epidemiology refers to the use of AI algorithms, machine learning, and other forms of advanced technology to analyze and interpret large amounts of data in real-time. This data is used to better understand the spread of diseases, identify outbreaks, and predict future trends. With the help of AI, epidemiologists can quickly detect outbreaks and take action to contain them, reducing the spread of diseases and improving public health outcomes.
Benefits of AI in Epidemiology
There are many benefits to using AI in epidemiology, including:
1. Faster and more accurate disease detection: AI algorithms can quickly analyze large amounts of data and detect outbreaks, even in real-time. This helps epidemiologists to respond quickly and effectively to contain the spread of diseases.
2. Better prediction of future trends: AI algorithms can be trained to predict future trends, allowing epidemiologists to anticipate future outbreaks and take preventive measures.
3. Improved efficiency: With the help of AI, epidemiologists can automate many manual processes, reducing the time and effort required to analyze large datasets.
4. Increased collaboration: AI algorithms can help epidemiologists to share and collaborate on data, improving the accuracy and speed of their work.
AI in Epidemiology Market Trends
The AI in epidemiology market is growing rapidly, with many companies offering AIbased solutions for disease detection, prediction, and analysis. Some of the key trends in this market include:
1. Increased investment: With the growing recognition of the benefits of AI in epidemiology, there has been a significant increase in investment in this area. Many governments, organizations, and private companies are investing in AI-based solutions for public health.
2. Expansion of the market: The AI in epidemiology market is expanding globally, with companies offering solutions in regions all over the world. This is helping to improve public health outcomes globally, particularly in developing countries.
3. Advancements in AI technology: The technology used in AI is advancing rapidly, leading to new and more sophisticated solutions for disease detection, prediction, and analysis.
Key Players-
• Cerner Corporation (Oracle)
• Cognizant Technology Solutions Corporation
• Intel Corporation
• Epic Systems Corporation
• Komodo Health
• eClinicalWorks LLC
• Artificial Intelligence for Medical Epidemiology (AIME)
• Meditech
• Microsoft Corporation
• Alphabet Inc.
• Siemens Healthineers AG
• Predixion Software
• Bayer Healthcare
• Cardiolyse
• SAS Institute Inc.
Segmentation-
By Deployment:
• Web-based
• On-premise
• Cloud-based
By Application:
• Disease & Syndromic Surveillance
• Infection Prediction & Forecasting
• Monitoring Population Health & Incidence
By End-use:
• Research Labs
• Government & State Agencies
• Healthcare Providers
• Pharmaceutical & Biotechnology Companies
By Regional & Country Level:
North America
• U.S.
• Canada
Europe
• U.K.
• France
• Germany
• Italy
Asia Pacific
• China
• Japan
• India
• Southeast Asia
Latin America
• Brazil
• Mexico
Middle East and Africa
• GCC
• Africa
• Rest of Middle East and Africa
National Institutes of Health (NIH) Launched $130 million investment across four years to hasten the scientific and behavioural research sectors
On September 13th, 2022; The National Institutes of Health (NIH) launched a $130 million investment across four years to hasten the scientific and behavioral research sectors' adoption of artificial intelligence (AI). The Bridge to Artificial Intelligence (Bridge2AI) program of the NIH Common Fund had given out four financial resources for projects that generate information and three for the establishment of a Bridge Center for integrating dissemination, and assessment activities.
New biological and behavioral data points will be created as a result of the data generation initiatives, which will also provide technologies and data guidelines for the FAIR principle, which ensures that information is accessible, findable, interoperable, and reusable.
University of Pennsylvania School of Medicine and Children's Hospital of Philadelphia (CHOP) launched the Penn-CHOP Kidney Innovation Center
On August 30th, 2022; The University of Pennsylvania School of Medicine (Penn Medicine) and Children's Hospital of Philadelphia (CHOP) established the Penn-CHOP Kidney Innovation Center that will fund studies to enhance patient treatment for both adults and adolescents with kidney damage.
The cooperation will concentrate on preventing kidney illness, detecting it early, and treating it, as well as any complications that may arise since they place a large clinical strain on the whole care continuum. Professionals in medical epidemiology, biostatistics, computational biology, bioinformatics, pathology, genetics, physiology, biochemistry, immunotherapy, pharmacology, genomics, and psychology, as well as other fields, will be gathered at the institute.
The University at Albany plans to launch the University's Ambitious Ambition To Integrate AI-Related Instruction
On November 7th, 2022; The University at Albany announced its plans to hire a recordbreaking 27 new AI-focused faculty employees, launching the university's ambitious ambition to integrate AI-related instruction and development throughout all academic departments. The new employees will work in as many as 20 academic departments at several UAlbany schools and colleges, including those for digital investigations, psychology, welfare programs, arithmetic, and epidemiology.
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