Computational Medicine in the Heart (CHIP) is a T32 Program of the National Institutes of Health (NIH) National Cancer Institute (NCI). The descriptor T32 applies to all NIH Ruth L. Kirschstein National Research Service Awards, which support doctoral research training in various areas.
CHIP T32 is an integrated program of the Stanford Cardiovascular Institute (CVI) of Stanford Medicine. The program supports training for post-doctoral fellows interested in using computational medicine to address unmet patient needs in cardiovascular (CV) diseases. CHIP T32 provides two years of training for six fellows who choose their mentors from 38 participating faculty members in the School of Medicine, School of Engineering, or School of Humanities and Sciences. In addition to interdisciplinary research and coursework, CHIP T32 training comprises professional development and team-based work. Beyond the CVI and the specific schools listed above, content for CHIP T32 training comes from Stanford’s Institute for Computational and Mathematical Engineering and Artificial Intelligence in Medicine and Imaging.
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AuthorDr. Sanjiv Narayan currently serves as director of the atrial fibrillation and electrophysiology research programs at Stanford University, where he is working to develop a treatment center for patients with complex clinical problems. Archives
September 2016
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