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 July 7 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 market, a randomized clinical trial is a rigorous study in which participants are randomly assigned into separate groups to evaluate how well treatments or interventions work and their side effects.
The researchers predict that combining real-world data with collaborative AI reasoning has the potential to make clinical trials faster, more affordable and more precise, which could ultimately lead to new treatments for patients with higher success rates.

Dr. Fei Wang