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Explore the formalization and application of foundation models in healthcare and biomedical settings through this 59-minute conference talk by Matthew McDermott from Columbia University, presented at the Simons Institute as part of the Theory of Computing and Healthcare series. Examine how foundation models have gained prominence in machine learning and artificial intelligence, particularly for their potential benefits in health applications involving non-traditional modalities. Learn about a systematic formalization of foundation models that reveals their relative strengths and weaknesses, providing insights into how to construct meaningful new foundation models across various health and biomedical applications. Discover emerging foundation models specifically designed for electronic health record data and investigate new algorithms that can deliver significant advantages in diverse healthcare settings. Gain understanding of the theoretical foundations underlying these models and their practical implications for advancing healthcare AI applications.
