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A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application.

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Title: A review on integrated machine learning and deep learning driven artificial intelligence models for pharmacokinetics and toxicokinetics predictions, and their application.
Authors: M M; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., S M; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., Kate SS; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India., Taneja I; Translational PK/PD and Investigative Toxicology, Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania., Jaiswal S; Certara Predictive Technologies, Simcyp Division, Certara Inc, Radnor, Pennsylvania., Pratap B; Research and Development, Rosemont Pharmaceuticals, Leeds, United Kingdom., Rathi PC; Augmented DMTA Platform, R&D IT, AstraZeneca, The Discovery Centre (DISC), Cambridge, United Kingdom., Thakur S; School of Medical Science and Technology, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India., Paul D; Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER)-Kolkata, West Bengal, India. Electronic address: davidpaul@niperkolkata.ac.in., Wahajuddin M; Institute of Cancer Therapeutics, School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, United Kingdom. Electronic address: m.wahajuddin@bradford.ac.uk.
Source: Drug metabolism and disposition: the biological fate of chemicals [Drug Metab Dispos] 2026 Mar; Vol. 54 (3), pp. 100240. Date of Electronic Publication: 2026 Jan 22.
Publication Type: Journal Article; Review
Journal Info: Publisher: American Society for Pharmacology and Experimental Therapeutics, etc.] Country of Publication: Netherlands NLM ID: 9421550 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-009X (Electronic) Linking ISSN: 00909556 NLM ISO Abbreviation: Drug Metab Dispos Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1521-009X
DOI:10.1016/j.dmd.2026.100240