This session will be a conversation-style panel focusing on how funding decisions are made in computational medicine, what funders and other stakeholders can do to increase data sharing and research, and will culminate with an announcement of a new computational medicine funding collaborative.
Daniel Yang (Gordon and Betty Moore Foundation)
Daniel Yang M.D. is a program director of Patient Care at the Gordon and Betty Moore Foundation where he established the Diagnostic Excellence Initiative, which plans to invest $85 million in grant funding over six years. The initiative aims to reduce harm from erroneous or delayed diagnoses, reduce costs and redundancy in the diagnostic process and improve patients outcomes through timely, accurate, efficient, equitable and patient-centered diagnoses. The initiative is focused on three clinical categories of diseases that contribute to a disproportionate share of harm from suboptimal diagnosis including acute vascular events, infections and cancer. Daniel is also a practicing hospitalist and a board-certified internal medicine physician. He completed his residency training at the University of California, San Francisco. He subsequently completed a fellowship in health care systems design at Stanford University's Clinical Excellence Research Center.
Katy Haynes (Nightingale Open Science)
More from the Same Authors
2021 Workshop: Machine learning from ground truth: New medical imaging datasets for unsolved medical problems. »
Katy Haynes · Ziad Obermeyer · Emma Pierson · Marzyeh Ghassemi · Matthew Lungren · Sendhil Mullainathan · Matthew McDermott
2021 : Machine learning from ground truth: introductory remarks »
Ziad Obermeyer · Sendhil Mullainathan · Katy Haynes · Eric Schmidt