Physicians



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Advisory Board, Cancer Commons
Former Editor-in-Chief: Science
Former President Stanford University

DON KENNEDY, PHD



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Medical Director, Cancer Commons
Oncology Lead, Sutter Health San Francisco

KEVIN KNOPF, MD, MPH, ONCOLOGY



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Advisory Board, Cancer Commons
Associate Director, Adult Oncology
Co-leader, GI Cancers, USC Norris Cancer

HEINZ-JOSEF LENZ, MD



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Advisory Board, Cancer Commons
Former Editor JAMA
Former Editor-in-Chief, Medscape

GEORGE LUNDBERG, MD, PATHOLOGY



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Advisory Board, Cancer Commons
Former Director, UCSF Cancer Center
Former President AACR

FRANK MCCORMICK, PHD, FRS, DCS (HON)



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Advisory Board, Cancer Commons
Chair, Department of Medical
Oncology and Therapeutics Research,
City of Hope Cancer Center

RAVI SALGIA, MD, PHD, LUNG CANCER



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Advisory Board, Cancer Chief Scientist,
Cancer Commons
Former Researcher UCSF Cancer Center

EMMA SHTIVELMAN, PHD, CANCER BIOLOGY



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Advisory Board, Cancer Commons
Director of Cancer Research,
Palo Alto Medical Foundation
Former President ASCO

PETER YU, MD, ONCOLOGY

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Access the world’s best and latest cancer knowledge.

Every day, physicians produce unique clinical insights, but these are rarely captured. We envision the majority of practicing oncologists joining the Cancer Commons Knowledge Network, entering cases and insights, performing searches on behalf of their patients, and reporting outcomes. The resulting rapid learning community has the potential to vastly improve treatment for thousands upon thousands of cancer patients by helping to efficiently optimize available therapies and correctly choose clinical trials.

Join our Knowledge Network and contribute to our growing knowledge base of case histories, treatment rationales, clinical trials, and patient outcomes. Together, we’ll create the world’s most complete and uptodate cancer knowledge-sharing platform.

Join the Knowledge Network.

Improve and validate treatments for better outcomes.

We’re connecting research and the clinic by translating research insights into tangible knowledge for use in clinical practice and vice versa, closing the loop. As a member of our knowledge network, you’ll gain access to broad and global patient insights, as well as a powerful tools to validate treatment decisions and enable continuous quality assurance. Our platform’s trove of public knowledge and data, along with its open architecture, will catalyze both the medical and artificial intelligence communities to create many new applications, including:

  • Convening “virtual tumor boards.
  • Generating reimbursement justifications for novel treatments
  • Accelerating the clinical validation of research hypotheses
  • Soliciting cases that match given criteria (e.g., exceptional responders) to accelerate research
  • Creating a new model for medical education