The symposium is designed for participants to explore systems biology approaches to understanding cancer progression and treatment response. Talks covering computational and imaging innovations will focus on decoding the tumor microenvironment, analyzing spatial dynamics in metastasis, mapping cell-cell interactions, and advancing therapeutic and diagnostic strategies.
Registration is now open and free to all. Please register using this link or scan QR code in the flyer.
“Medicine is in the dawn of a fundamental shift from using artificial intelligence (AI) as tools to deploying AI as agents. When used as a tool, AI is passive and reactive. Even powerful medical AI foundation models today remain tools that depend on human users to provide input and context, interpret their output, and take follow-up steps. To fully unlock AI’s potential in medicine, clinicians need to make the key conceptual shift from using AI as sophisticated calculators to embracing AI as health-care teammates.”
Read more here: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)00202-8/abstract
The Zou Group is excited to announce that a new precision oncology paper published in Nature Communications https://www.nature.com/articles/s41467-024-55251-5. The team leveraged genomics and EHR data of over 78K cancer patients to identify biomarkers that predict cancer treatment response.
Congratulations, team!
The Zou Group is very excited to have a new paper on spatial single-cell aging clocks published in Nature, led by DBDS PhD student Eric Sun.
Read it here: https://www.nature.com/articles/s41586-024-08334-8