Will Artificial Intelligence for Drug Discovery Impact Clinical Pharmacology?

Journal: Clinical pharmacology and therapeutics
Published Date: Mar 3, 2020

Abstract

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.

Authors

  • Alex Zhavoronkov
    Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Emerging Technology Centers, Johns Hopkins University at Eastern, Baltimore, Maryland, USA.
  • Quentin Vanhaelen
    Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Emerging Technology Centers, Johns Hopkins University at Eastern, Baltimore, Maryland, USA.
  • Tudor I Oprea
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA. toprea@salud.unm.edu.

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