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Explore foundation models in biomedicine through this 39-minute conference talk from the Machine Learning in Drug Discovery Symposium, examining how these advanced AI systems can model everything from individual tissues to entire biological systems. Learn about cutting-edge approaches to applying foundation models across different scales of biological complexity, from cellular and tissue-level modeling to comprehensive biological system representation. Discover how these powerful machine learning frameworks are revolutionizing our understanding of biological processes and their potential applications in drug discovery research. Gain insights into the technical challenges and opportunities presented by foundation models as they bridge the gap between computational biology and pharmaceutical development, offering new perspectives on how artificial intelligence can accelerate the discovery of therapeutic interventions.
