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Explore how artificial intelligence can revolutionize biomedical research in this 17-minute conference talk from the Machine Learning in Drug Discovery Symposium. Learn about the development and application of "AI Scientists" - advanced machine learning systems designed to accelerate biomedical discovery processes. Discover cutting-edge approaches to integrating AI into various aspects of drug discovery, including target validation, hit identification and optimization, clinical trial design, and biologics development. Gain insights into how these AI-powered tools can transform traditional research methodologies and enhance the efficiency of discovering new therapeutic interventions. Understand the potential impact of machine learning techniques on the future of pharmaceutical research and biomedical innovation through real-world applications and case studies presented by a leading researcher from Harvard Medical School and the Broad Institute.
Syllabus
Machine Learning in Drug Discovery Symposium: Marinka Zitnik
Taught by
Broad Institute