Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin

Pharmacometrics (PM) and machine learning (ML) are both valuable for drug development to characterize pharmacokinetics (PK) and pharmacodynamics (PD). Pharmacokinetic/pharmacodynamic (PKPD) analysis using PM provides mechanistic insight into biological processes but is time- and labor-intensive. In...

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Main Authors: Lina Keutzer (Author), Huifang You (Author), Ali Farnoud (Author), Joakim Nyberg (Author), Sebastian G. Wicha (Author), Gareth Maher-Edwards (Author), Georgios Vlasakakis (Author), Gita Khalili Moghaddam (Author), Elin M. Svensson (Author), Michael P. Menden (Author), Ulrika S. H. Simonsson (Author), on behalf of the UNITE4TB Consortium (Author)
Format: Book
Published: MDPI AG, 2022-07-01T00:00:00Z.
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Call Number: A1234.567
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