The Potential of Big Data and Machine Learning for Oncology

AACR Virtual Patient Advocate Forum

The Potential of Big Data, Machine Learning (ML), and Artificial Intelligence (AI) for Oncology

October 12, 2021

VIRTUAL

Register for on demand viewing

Data science and machine learning promise to revolutionize cancer treatments. But the role of patients has yet to be clearly defined in this new world of large data sets and real-world evidence. This Patient Advocate Forum explored how scientists are translating data into clinically relevant knowledge, discussed the role of patients in these efforts, and highlighted the opportunities for using big data to advance cancer care.

MODERATOR

Anna D. Barker, Ellison Institute for Transformative Medicine of USC, Los Angeles, CA

SPEAKERS

David A. Tuveson, Cold Spring Harbor Laboratory Cancer Center, Cold Spring Harbor, NY

Corrie Painter, Count Me In, Cambridge, MA

Sylvia K. Plevritis, Stanford School of Medicine, Stanford, CA

Olga G. Troyanskaya, Princeton University, Princeton, NJ

Stephen Gruber, City of Hope National Medical Center, Duarte, CA

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AACR Patient Advocate Forums

The AACR is committed to providing educational programming to patients with cancer and patient advocacy communities to support their collective mission to find cures for all cancers. AACR Patient Advocate Forums invite leaders from patient advocacy, academia, industry, and health care communities to discuss pressing topics and the latest discoveries in cancer research. These virtual forums are provided quarterly at no cost to attendees and open to the public. 

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