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Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?

As the field of artificial intelligence and machine learning (AI/ML) for drug discovery is rapidly advancing, we address the question “What is the impact of recent AI/ML trends in the area of Clinical Pharmacology?” We address difficulties and AI/ML developments for target identification, their use...

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Detalles Bibliográficos
Autores principales: Zhavoronkov, Alex, Vanhaelen, Quentin, Oprea, Tudor I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158211/
https://www.ncbi.nlm.nih.gov/pubmed/31957003
http://dx.doi.org/10.1002/cpt.1795
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author Zhavoronkov, Alex
Vanhaelen, Quentin
Oprea, Tudor I.
author_facet Zhavoronkov, Alex
Vanhaelen, Quentin
Oprea, Tudor I.
author_sort Zhavoronkov, Alex
collection PubMed
description As the field of artificial intelligence and machine learning (AI/ML) for drug discovery is rapidly advancing, we address the question “What is the impact of recent AI/ML trends in the area of Clinical Pharmacology?” We address difficulties and AI/ML developments for target identification, their use in generative chemistry for small molecule drug discovery, and the potential role of AI/ML in clinical trial outcome evaluation. We briefly discuss current trends in the use of AI/ML in health care and the impact of AI/ML context of the daily practice of clinical pharmacologists.
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spelling pubmed-71582112020-04-20 Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology? Zhavoronkov, Alex Vanhaelen, Quentin Oprea, Tudor I. Clin Pharmacol Ther Reviews As the field of artificial intelligence and machine learning (AI/ML) for drug discovery is rapidly advancing, we address the question “What is the impact of recent AI/ML trends in the area of Clinical Pharmacology?” We address difficulties and AI/ML developments for target identification, their use in generative chemistry for small molecule drug discovery, and the potential role of AI/ML in clinical trial outcome evaluation. We briefly discuss current trends in the use of AI/ML in health care and the impact of AI/ML context of the daily practice of clinical pharmacologists. John Wiley and Sons Inc. 2020-03-03 2020-04 /pmc/articles/PMC7158211/ /pubmed/31957003 http://dx.doi.org/10.1002/cpt.1795 Text en © 2020 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Reviews
Zhavoronkov, Alex
Vanhaelen, Quentin
Oprea, Tudor I.
Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title_full Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title_fullStr Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title_full_unstemmed Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title_short Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
title_sort will artificial intelligence for drug discovery impact clinical pharmacology?
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158211/
https://www.ncbi.nlm.nih.gov/pubmed/31957003
http://dx.doi.org/10.1002/cpt.1795
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