M.D., Professor of Medicine and the Co-Director of the Robert Wood Johnson Foundation Clinical Scholars Program, Yale University
Dr. Gross is Professor of Medicine and the Co-Director of the Robert Wood Johnson Foundation Clinical Scholars Program at Yale. As Director of the Cancer Outcomes Public Policy and Effectiveness Research (COPPER) Center at Yale, the over-arching theme of his work is the disconnect between evidence generated from clinical research and the actual needs of older persons with cancer. He uses comparative effectiveness studies and policy-relevant research to address this important knowledge gap. As a general internist, Dr. Gross and his colleagues have used state of the art techniques to shed new insights about cancer screening, risk stratification, and treatment. Ongoing investigations focus on the understanding variability and value in cancer care, with a focus on the complex interplay between health policy, clinical decision-making, and patient centered outcomes. He also has a long-standing interest in research ethics and integrity. The resulting findings have been published in high impact journals including JAMA, Annals of Internal Medicine, and the Journal of the National Cancer Institute.
Early Insights from an Academic-Industry Collaboration
True collaboration between industry and academia can impose challenges, which if addressed successfully can unlock creativity, accelerate the pace of discovery, and ensure objective, rigorous science. This talk will describe a novel partnership between industry and an academic institution, including two ongoing exemplar precision medicine studies made possible through real-world datasets.
Session Abstract – PMWC 2017 Silicon Valley
Session Synopsis: Enabling the oncology community to harness the power of clinical data and electronic health care records to improve standard care requires data sharing, aggregation, and harmonization of research-grade datasets, including a supportive infrastructure. This session focuses on novel partnerships and high performance computing, that enable clinical workflow acceleration and decision making for precision medicine.