Clinical Research Insider Summit No. 11

Diagnosis of diseases through Artificial Intelligence

What is the importance of artificial intelligence in clinical research?

One of the biggest challenges we have seen in research is not only the clinical process itself but also the strategy for patient identification, recruitment, and enrollment processes, as well as patient drop-out during clinical trials. This is where we have proven that Artificial Intelligence generates high value. Today, with Arkangel AI, se-veral partners use our technology to create their own AI models for the recruitment process, aiming to create an algorithm to identify which potential patients are optimal for enrollment in clinical research. Similarly, AI models have been developed to predict the drop-out of patients, allowing better decisions to be made during the clinical study so that the process is more efficient and the results are optimized.

How can technology help human beings in the field of health?

Since the pandemic, the relationship between health and technology has grown rapidly and, in some areas, exponentially. Adoption and implementation of technology based on Artificial Intelligence allow for more scalable and efficient processes, in addition to generating cost-effective disease prevention and early detection. Similarly, technology serves to optimize administrative processes that accelerate decision-making and access to healthcare, all to save lives.

Artificial Intelligence is basically about turning raw data into knowledge that can be processed to make decisions more efficiently; by capturing all those numbers, trends, and graphs, we turn them into something that can be used to make decisions about diagnosis, treatment, access, clinical research, and even administrative processes.

Laura Velasquez Herrera

President and co-founder of Arkangel AI