"Identifying Deadly Drug Combinations: New Model's Findings"

Researchers from MIT, Brigham and Women's Hospital, and Duke University have developed a strategy using tissue models and machine-learning algorithms to identify the transporters used by different drugs, revealing potential interactions between commonly prescribed medications. By understanding how drugs pass through the digestive tract and predicting potential toxicities, this approach aims to improve patient safety and treatment efficacy, as well as aid drug developers in enhancing drug absorbability and preventing interactions with other medications.