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At Innovation Ventures, whose mission is to commercialize UCSF’s medical discoveries, Dr. Lesh focuses on high-value digital health and medical device opportunities, mentors faculty-entrepreneurs and start-ups, and has ultimate responsibility for Catalyst, UCSF’s translational accelerator. Dr. Lesh earned undergraduate and graduate degrees in computer science and biomedical engineering from MIT before attending medical school at UCSF. He was chief of cardiac electrophysiology at UCSF, and subsequently founded and was CEO of a number of successful medtech ventures. He pioneered several procedures for treating cardiac arrhythmias, and is the author of over 300 scientific papers, book chapters and books. Dr. Lesh holds over 200 patents, including the foundational method for pulmonary vein isolation (PVI) for atrial fibrillation, left atrial appendage occlusion (LAAO) to prevent stroke, and catheter-based treatment of mitral valve disease.
Machine learning is revolutionizing the potential of imaging for precision medicine. To realize that potential, we need not only expand rigorous ML research, but also solve several big-picture challenges in this emerging field. This panel will feature experts from research and industry to briefly highlight several use cases and then discuss bigger challenges such as data security and sharing, models for federated development of machine learning solutions, and the need for shared platforms and tools.