Predicting Pharmacokinetics of Drugs Using Artificial Intelligence Tools: A Systematic Review.

Journal: European journal of drug metabolism and pharmacokinetics
Published Date: Mar 8, 2024

Abstract

BACKGROUND AND OBJECTIVE: Pharmacokinetic studies encompass the examination of the absorption, distribution, metabolism, and excretion of bioactive compounds. The pharmacokinetics of drugs exert a substantial influence on their efficacy and safety. Consequently, the investigation of pharmacokinetics holds great importance. However, laboratory-based assessment necessitates the use of numerous animals, various materials, and significant time. To mitigate these challenges, alternative methods such as artificial intelligence have emerged as a promising approach. This systematic review aims to review existing studies, focusing on the application of artificial intelligence tools in predicting the pharmacokinetics of drugs.

Authors

  • Mahnaz Ahmadi
    Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Bahareh Alizadeh
    Protein Technology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Seyed Mohammad Ayyoubzadeh
    Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahdiye Abiyarghamsari
    Department of Clinical Pharmacy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, 1991953381, Iran. ghamsari@sbmu.ac.ir.

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