Explore AI-driven drug design with a focus on optimizing pharmacokinetics and ADME in this 25-minute conference talk by Raquel Rodríguez Pérez, Principal Scientist of Modeling and Simulation at Novartis. Gain insights into the latest advancements in machine learning applications for drug discovery as part of the Broad Institute Machine Learning in Drug Discovery Symposium 2023. Discover how artificial intelligence is revolutionizing the pharmaceutical industry by enhancing the efficiency and accuracy of drug design processes, particularly in predicting and optimizing pharmacokinetic properties and absorption, distribution, metabolism, and excretion (ADME) characteristics of potential drug candidates.
AI-Driven Drug Design: Optimizing Pharmacokinetics and ADME
Overview
Syllabus
Broad Institute Machine Learning in Drug Discovery Symposium 2023: Raquel Rodríguez Pérez
Taught by
Broad Institute
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