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

• Автори: Lina Keutzer (Автор), Huifang You (Автор), Ali Farnoud (Автор), Joakim Nyberg (Автор), Sebastian G. Wicha (Автор), Gareth Maher-Edwards (Автор), Georgios Vlasakakis (Автор), Gita Khalili Moghaddam (Автор), Elin M. Svensson (Автор), Michael P. Menden (Автор), Ulrika S. H. Simonsson (Автор), on behalf of the UNITE4TB Consortium (Автор)
• Формат: Книга
• Опубліковано: MDPI AG, 2022-07-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

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...