• Risk Assessment for Pancreatic Cancer: From Dream to Reality

    Chris Sander, Ph.D., Harvard Medical School Leader, Pancreatic Cancer Collective Research Team: Computational Approaches to Identifying High-Risk Pancreatic Cancer Populations AI may, at long last, point us toward an early-stage detection solution for pancreatic cancer. Pancreatic cancer ranks amon [...]

  • Modeling Cancer Risk with AI

    Adam Yala, Ph.D., UC Berkeley and UC San Francisco Member, SU2C Convergence 2.0 Research Team: Machine Learning for Cancer Immunotherapy AI holds the potential to revolutionize how, when, and where we screen for some of the most common cancers. In the lab of Dr. Yala, AI-enabled breast cancer risk [...]

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