Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations

Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations

ABSTRACT A variety of classical machine learning (ML) approaches has been developed over the past decade aiming to individualize drug dosages based on measured plasma concentrations. However, the interpretability of these models is challenging as they do not incorporate information on pharmacokineti...

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Bibliographic Details
Main Authors: Diego Valderrama, Olga Teplytska, Luca Marie Koltermann, Elena Trunz, Eduard Schmulenson, Achim Fritsch, Ulrich Jaehde, Holger Fröhlich
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Subjects:
concentration prediction
drug therapy
machine learning
oncology
pharmacokinetics
scientific machine learning
Online Access:https://doi.org/10.1002/psp4.13313
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https://doi.org/10.1002/psp4.13313

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