Machine learning for human-centric drug toxicity prediction

Think of this like a super-smart safety inspector for new medicines. Instead of testing every drug only in animals or long, expensive lab studies, a machine learning system studies lots of past data about how drugs affect human cells and then predicts which new drug candidates are likely to be toxic to people—before they ever reach clinical trials.