Cancer Research

AI in Cancer Research and Clinical Care: Turning Promise into Reality

September 20-22, 2022
In-person on the Hood College campus


Keynote Speaker: Artificial Intelligence in Cancer Research and Clinical Care: Turning Promise into Reality

Tuesday, September 20
Reception 5:30-7 p.m., Whitener Campus Center
Keynote 7 p.m., Hodson Auditorium, Rosenstock Hall

Keith Yamamoto, Ph.D., President of AAAS, and Special Advisor to the Chancellor for Science Policy and Strategy
University of California, San Francisco

As UCSF’s first vice chancellor for Science Policy and Strategy, Keith Yamamoto leads efforts to anticipate the needs of an increasingly dynamic biomedical research endeavor, and to position UCSF optimally, by working within the University as well as influencing and shaping science policy at the state and national levels and beyond.

Read more about the speaker.


About the Symposium

The Artificial Intelligence in Cancer Research and Clinical Care Symposium—the second in the Hood College-Frederick National Laboratory for Cancer Research Life Sciences Symposium Series—will showcase the latest applications of AI in cancer research and clinical care. The discussion will address key issues in the field of AI, including health disparities, cancer patient digital twins, ethical use of AI, clinical adoption and confronting biases in data. AI holds tremendous promise for unprecedented progress in understanding cancer biology, developing treatments and improving the lives of cancer patients everywhere. The challenge is to realize this impact across all patient populations in an ethical, equitable and responsible manner.

Read more about the Symposium.

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Thank You to our Sponsors

Sponsorship for the Frederick National Laboratory for Cancer Research-Hood College Meeting provides a wonderful opportunity to shape the future for cancer research and clinical applications.

Platinum Visionary Level
Hewlett Packard Enterprises

Gold Innovator Level
SambaNova Systems
Leidos Biomedical Research

Silver Champion Level