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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Veröffentlicht in:Clinical pharmacology and therapeutics Jg. 107; H. 4; S. 780 - 785
Hauptverfasser: Zhavoronkov, Alex, Vanhaelen, Quentin, Oprea, Tudor I.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.04.2020
Schlagworte:
Animals
Artificial Intelligence - trends
Clinical Trials as Topic - methods
Drug Discovery - methods
Drug Discovery - trends
Humans
Pharmacology, Clinical - methods
Pharmacology, Clinical - trends
ISSN:0009-9236, 1532-6535, 1532-6535
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:0009-9236
1532-6535
1532-6535
DOI:10.1002/cpt.1795