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

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...

Full description

Bibliographic Details
Main Authors: Lina Keutzer, Huifang You, Ali Farnoud, Joakim Nyberg, Sebastian G. Wicha, Gareth Maher-Edwards, Georgios Vlasakakis, Gita Khalili Moghaddam, Elin M. Svensson, Michael P. Menden, Ulrika S. H. Simonsson, on behalf of the UNITE4TB Consortium
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Pharmaceutics
Subjects:
machine learning
pharmacometrics
population pharmacokinetics
rifampicin
pharmacokinetics
simulation
Online Access:https://www.mdpi.com/1999-4923/14/8/1530

Internet

https://www.mdpi.com/1999-4923/14/8/1530

Similar Items