Methodological Techniques Used in Machine Learning to Support Individualized Drug Dosing Regimens Based on Pharmacokinetic Data: A Scoping Review.

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Title: Methodological Techniques Used in Machine Learning to Support Individualized Drug Dosing Regimens Based on Pharmacokinetic Data: A Scoping Review.
Authors: Methaneethorn J; Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, 10330, Thailand. janthima.methaneethorn@gmail.com., Duangchaemkarn K; School of Pharmaceutical Sciences, University of Phayao, Phayao, 56000, Thailand., Reisfeld B; Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA.; Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA., Habiballah S; Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA.
Source: Clinical pharmacokinetics [Clin Pharmacokinet] 2025 Sep; Vol. 64 (9), pp. 1295-1330. Date of Electronic Publication: 2025 Aug 14.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: Country of Publication: Switzerland NLM ID: 7606849 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-1926 (Electronic) Linking ISSN: 03125963 NLM ISO Abbreviation: Clin Pharmacokinet Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1007/s40262-025-01547-8
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      – TitleFull: Methodological Techniques Used in Machine Learning to Support Individualized Drug Dosing Regimens Based on Pharmacokinetic Data: A Scoping Review.
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