Mentioned in 15 AI use cases across 3 industries
It helps trial teams pick sites that have historically enrolled diverse patient groups, so studies better reflect real-world populations.
An AI reads the rules for who can join a clinical trial and compares them with a patient’s medical information to help find good trial matches faster.
An AI system reads patient chart information and quickly flags people who might qualify for oncology trials, instead of relying only on manual staff review.
It estimates where and with whom a trial is most likely to enroll patients successfully, so teams can choose better locations and partners.
Genentech and Flatiron Health use real patient-care data to design cancer trials that better match how treatment happens in everyday clinics, helping studies run faster and more efficiently.
Instead of treating all trial rules as equally important, AI checks each rule one by one to see which ones exclude lots of people without changing outcomes much.