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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Detalles Bibliográficos
Autores principales: Keutzer, Lina, You, Huifang, Farnoud, Ali, Nyberg, Joakim, Wicha, Sebastian G., Maher-Edwards, Gareth, Vlasakakis, Georgios, Moghaddam, Gita Khalili, Svensson, Elin M., Menden, Michael P., Simonsson, Ulrika S. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330804/
https://www.ncbi.nlm.nih.gov/pubmed/35893785
http://dx.doi.org/10.3390/pharmaceutics14081530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330804/
https://www.ncbi.nlm.nih.gov/pubmed/35893785
http://dx.doi.org/10.3390/pharmaceutics14081530

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