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

Alan Talevi1, Juan Francisco Morales1, Gregory Hather2

  • 1Laboratorio de Investigación y Desarrollo de Bioactivos (LIDeB), Faculty of Exact Sciences, National University of La Plata (UNLP), Buenos Aires, Argentina.

Summary

Artificial intelligence, specifically machine learning (ML), offers a promising approach to reduce drug development failures. This primer covers essential ML algorithms, data sources, and best practices for model development in drug discovery.

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Drug Discovery: Overview01:26

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