Tuberculosis (TB) is the world’s deadliest infectious disease—and one of the hardest to cure. Standard treatment requires a cocktail of multiple drugs over at least six months, and one in five patients have a type of TB that resists these first-line medications. Now, a new study offers a powerful AI-assisted method for uncovering exactly how TB drugs kill the bacteria, opening the door to smarter treatment combinations that could work faster.
AI-powered analysis reveals how drugs kill tuberculosis at the molecular level
