The Human Cell Is Wildly Complex. Can AI Decode It? | Silvana Konermann | TED

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Silvana Konermann and the team at Arc Institute are trying to crack one of science's most difficult problems: why complex diseases like Alzheimer's and cancer remain so stubbornly unsolvable, even as research advances. Her solution is a universal “virtual cell” — an AI model trained on a billion biological experiments that can read the language of human cells, predict what's going wrong and reveal how to fix it. In conversation with TED’s Chris Anderson, Konermann explores how this work could fundamentally change the way we discover drugs and treat disease. (This ambitious idea is part of The Audacious Project, TED’s initiative to inspire and fund global change.) (Recorded at TED2026 on April 14, 2026) Join us in person at a TED conference: https://tedtalks.social/events Become a TED Member to support our mission: https://ted.com/membership Subscribe to a TED newsletter: https://ted.com/newsletters Follow TED! Instagram: https://www.instagram.com/ted LinkedIn: https://www.linkedin.com/company/ted-conferences TikTok: https://www.tiktok.com/@tedtoks Facebook: https://facebook.com/TED X: https://www.twitter.com/TEDTalks The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less) — plus originals, podcasts and exclusive content. Look for videos on Technology, Entertainment and Design as well as science, business, global issues, the arts and more. Visit

Published 2026-06-19 · Watch on YouTube ↗
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