Machine Learning in Drug Discovery and Development Part 1: A Primer

Machine Learning in Drug Discovery and Development Part 1: A Primer

Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and development. We also list possible data sources, describe...

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Bibliographic Details
Main Authors: Alan Talevi, Juan Francisco Morales, Gregory Hather, Jagdeep T. Podichetty, Sarah Kim, Peter C. Bloomingdale, Samuel Kim, Jackson Burton, Joshua D. Brown, Almut G. Winterstein, Stephan Schmidt, Jensen Kael White, Daniela J. Conrado
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.12491

Internet

https://doi.org/10.1002/psp4.12491

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