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AI-Driven Drug Design: Optimizing Pharmacokinetics and ADME

Offered By: Broad Institute via YouTube

Tags

Drug Discovery Courses Artificial Intelligence Courses Bioinformatics Courses Machine Learning Courses Drug Design Courses Pharmacokinetics Courses Pharmaceutical Industry Courses Computational Chemistry Courses

Course Description

Overview

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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.

Syllabus

Broad Institute Machine Learning in Drug Discovery Symposium 2023: Raquel Rodríguez Pérez


Taught by

Broad Institute

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