In this episode, Dr. Joseph Geraci joins Editor-in-Chief of JAMA + AI, Dr. Roy Perlis, to discuss how machine learning can be used to analyze clinical trials and identify subpopulations with different treatment responses, helping inform decision-making and future trial design.

Dr. Joseph Geraci shares how he’s applied his mathematical and artificial intelligence expertise to analyze clinical trial datasets to extract evidence for explainable patient subgroups that are more likely to benefit from treatment. Also sharing feedback from NetraMark’s CPIM (Critical Path Innovation Meeting) with the FDA regarding NetraAI’s startification technology.

Other ways to listen:

https://podcasts.apple.com/us/podcast/jama+-ai-conversations/id1772163310 

https://jamanetwork.com/channels/ai/pages/podcast