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Physics Informed Representation Learning for Therapeutics

Offered By: Broad Institute via YouTube

Tags

Representation Learning Courses Artificial Intelligence Courses Machine Learning Courses Therapeutics Courses Drug Discovery Courses Computational Chemistry Courses

Course Description

Overview

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Explore a 21-minute conference talk by Rafael Gomez-Bombarelli, Assistant Professor at MIT, on Physics-informed Representation Learning for Therapeutics. Delve into cutting-edge research that combines physics principles with machine learning techniques to advance drug discovery and development. Gain insights into how this innovative approach can potentially revolutionize the field of therapeutics. Learn about the latest advancements in computational methods for drug design and optimization. Discover the potential applications and implications of this research for the pharmaceutical industry and healthcare sector.

Syllabus

Physics informed Representation Learning for Therapeutics; Rafael Gomez-Bombarelli


Taught by

Broad Institute

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