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Explore foundation models for early drug discovery in this 19-minute conference talk from the Machine Learning in Drug Discovery Symposium at the Broad Institute. Learn how machine learning techniques are being applied to revolutionize the early stages of pharmaceutical development, with insights from Recursion's approach to computational drug discovery. Discover the latest advances in applying artificial intelligence to target validation, hit identification and optimization, and other critical areas of drug development. Gain understanding of how foundation models can accelerate the traditionally lengthy and expensive process of bringing new medications to market, presented as part of a symposium that brings together leading researchers working at the intersection of machine learning and pharmaceutical science.
Syllabus
Machine Learning in Drug Discovery: Oren Kraus
Taught by
Broad Institute