O futuro virtual da pesquisa sobre o câncer | Gege Qian | TEDxSanDiegoSalon

A bióloga computacional Gege Qian explica como a IA é usada para criar modelos de células virtuais, cópias digitais de células vivas. Esses modelos poderiam permitir que médicos testem opções de tratamento em uma cópia digital do tumor de um paciente. Ela descreve como essa abordagem pode mudar a descoberta de medicamentos e o tratamento do câncer. Segundo a biografia da palestrante, sua pesquisa mostra como as células cancerígenas se reorganizam sob quimioterapia.

• Modelos de células virtuais construídos com IA
• Teste de tratamentos em uma cópia digital do tumor
• Possível impacto na descoberta de medicamentos

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