Scientific machine learning for predicting plasma concentrations in anti-cancer therapy
Diego Valderrama,
Olga Teplytska,
Luca Marie Koltermann
et al.
Abstract:A variety of classical machine learning approaches have been developed over the past ten years with the aim to individualize drug dosages based on measured plasma concentrations. However, the interpretability of these models is challenging as they do not incorporate information on pharmacokinetic (PK) drug disposition. In this work we compare well-known population PK modelling with classical and a newly proposed scientific machine learning (SciML) framework, which combines knowledge on drug disposition with da… Show more
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