Five-agent AI team could speed clinical trial design using real-world patient records

An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial design, one of the most difficult steps in drug development, according to a new study by Weill Cornell Medicine investigators.

The findings, published in Nature Communications, evaluated the potential of the system, called EmulatRx, to simulate, design and improve clinical trials using real-world patient data.

A necessary step before a drug is approved for the market, a randomized clinical trial is a rigorous study in which participants are randomly assigned to separate groups to evaluate how well treatments or interventions work and their side effects. ...