がん研究の仮想的な未来 | Gege Qian | TEDxSanDiegoSalon

計算生物学者のGege Qian氏が、AIを使って生きた細胞を再現する「バーチャル細胞モデル」の構築について語ります。患者の腫瘍のデジタルモデル上で治療法を試せる可能性や、このような技術が創薬とがん治療をどう変えうるかが取り上げられています。また、講演者の経歴によれば、機械学習を用いてがん細胞が化学療法の下でどのように再編成されるかを示す研究を行っており、治療後の再発の理解につながる可能性があるとされています。

• AIで生きた細胞を表現するバーチャル細胞モデルの構築
• 患者の腫瘍のデジタルコピーを使った治療法の検証
• 化学療法下でのがん細胞の再編成と再発の関連についての研究

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