David Sinclair describes how AI has become essential to his longevity research, screening billions of molecules for anti-aging drugs, instantly classifying millions of cells as young or old, and generating unexpected insights into biological age that his team hadn't anticipated.
Chapters
If anyone tells you AI can only do what we've taught it, that is the biggest bunch of BS you'll ever hear. We are working with companies and academics that do a lot of AI now. We can't survive without it in my lab, and it's accelerating our work. We're doing now what would have taken hundreds of years before. It's amazing. And some of the things that we're doing— AI-driven drug design and looking at billions and eventually trillions of molecules to see which ones might reverse aging. We've done that already using AI to tell whether a cell is old or young just by looking at it very quickly. And we can look at millions of cells within 10 minutes or so. The other area we've actually submitted a paper on is collaborating with a group called Cadence. Cadence is a scientist agentic system that we used for longevity. We fed it a lot of transcriptomic data, and it actually made a discovery that we hadn't thought of about how to look at biological age with that data. So we are using AI as scientists as well to give us ideas and even be creative in that way.