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Carla Leibowitz is a growth and innovation executive currently heading healthcare AI partnerships at NVIDIA. Prior, she led Corporate Development and Strategy at Arterys, the first company to achieve FDA clearances for several products that combine cloud computing and artificial intelligence. She has an MBA from the Stanford Graduate School of Business and engineering degrees from both MIT and Stanford. Prior to joining Arterys, Carla spent 3 years at Bain & Company, consulting for top biotech, diagnostic and hospital clients. At the beginning of her career, Carla designed medical devices and led device development teams at several companies and has more than 16 patents under her name.
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.