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Explore how AI agents equipped with large language models, tools, and reasoning capabilities can revolutionize biomedical research in this 58-minute conference talk from Stanford University's MedAI Group Exchange Sessions. Discover the Virtual Lab concept, where collaborative teams of AI scientist agents conduct in silico research meetings to tackle open-ended research projects, including the successful design of new nanobody binders to recent COVID variants that were experimentally validated. Learn about Paper2Agent, an innovative framework that automatically converts passive research papers into interactive AI agents. Gain insights from Associate Professor James Zou of Stanford's Biomedical Data Science, Computer Science, and Electrical Engineering departments, whose research group has developed widely-used innovations including FDA-cleared EchoNet AI for cardiac function assessment, Gradio used by over a million developers, and SyntheMol recognized by the New York Times as 2024 Good Tech. Participate in the interactive discussion and Q&A session that follows the presentation, designed to critically examine key topics in AI and medicine while generating fresh ideas around their intersection.
