Researchers now use AI to identify new antibiotics targeting drug-resistant infections. This approach replaces slow, manual screening with rapid computational predictions. By analyzing molecular structures, scientists find candidates that traditional methods miss. This shift reduces the time required to move from initial discovery to laboratory testing for medical practitioners.