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Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?
Author(s) -
Zhavoronkov Alex,
Vanhaelen Quentin,
Oprea Tudor I.
Publication year - 2020
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.1795
Subject(s) - drug discovery , context (archaeology) , identification (biology) , clinical trial , clinical pharmacology , generative grammar , clinical practice , drug , pharmacology , data science , artificial intelligence , computer science , medicine , bioinformatics , biology , paleontology , botany , family medicine
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.