Researchers at MIT have leveraged generative artificial intelligence (AI) to design new antibiotics targeting difficult infections caused by drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). The AI generated over 36 million candidate molecules, which were computationally screened for antimicrobial properties. Top candidates featured novel structures and mechanisms disrupting bacterial membranes. This breakthrough, detailed in Cell, marks a significant advancement toward combating resistant bacterial strains and expanding antibiotic discovery.