How AI is accelerating drug discovery

University of Utah professor Matthew Sigman discusses how machine learning is changing the way scientists discover new medicines. Instead of relying on years of trial and error, researchers can now train models to predict how chemical reactions will behave, including the precise molecular structures that can determine whether a drug helps or harms. Sigman explains how this technology could dramatically speed up drug development while opening new possibilities in chemistry and medicine.