"Machine-Learning Model Identifies Deadly Drug Combinations for Safer Prescribing"

Researchers at MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy to identify the transporters used by different drugs, which could help improve patient treatment by identifying potential drug interactions. By using tissue models and machine-learning algorithms, they identified interactions between a commonly prescribed antibiotic and a blood thinner, as well as other drugs. This approach could also be applied to drugs in development to prevent interactions with other drugs or improve their absorbability.