L'avenir virtuel de la recherche sur le cancer | Gege Qian | TEDxSanDiegoSalon

La biologiste computationnelle Gege Qian présente la manière dont l'IA sert à construire des modèles de cellules virtuelles, des copies numériques de cellules vivantes. Ces modèles pourraient permettre aux médecins de tester des options de traitement sur une copie numérique de la tumeur d'un patient. Elle explique comment cette approche pourrait transformer la découverte de médicaments et le traitement du cancer. Selon sa biographie, ses travaux montrent comment les cellules cancéreuses se réorganisent sous chimiothérapie.

• Modèles de cellules virtuelles construits avec l'IA
• Tester des traitements sur une copie numérique de tumeur
• Impact possible sur la découverte de médicaments

What if, before choosing your cancer treatment, your doctor could test every option — not on you, but on a digital copy of your tumor living inside a computer? That's the promise of the virtual cell. Computational biologist Gege Qian explains how AI is learning to model living cells, what the future of the virtual cell could hold, and why it could change how we discover drugs and treat disease. #Cancer #DigitalTwin, #AI #technology #VirtualCell #UCSD #TEDxSanDiego #TEDx #moorescancercenter #ComputationalBiologist Gege Qian is a computational oncologist and PhD candidate at UC San Diego, where she builds AI systems that map the inner architecture of living cells. Her work — published in Nature and under review at Science — uses machine learning to construct virtual cell models that reveal how cancer cells reorganize under chemotherapy, helping explain why patients relapse after treatment. A first-generation college student, Gege earned dual degrees from UC San Diego before completing her master's at Harvard Medical School. She has also worked as a venture capital fellow evaluating AI biotech startups and led biotech entrepreneurship initiatives that brokered partnerships with Roche. She believes the most important frontier in medicine is not a new drug — it is a new way of seeing cells. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx