Stanford researchers built multi-agent AI systems that generated 92 novel COVID-19 drug candidates in days, compressing timelines that normally take months.

Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in…

Stanford researchers built multi-agent AI systems that generated 92 novel COVID-19 drug candidates in days, compressing timelines that normally take months.