Translational learning from clinical studies predicts drug pharmacokinetics across patient populations

Translational learning from clinical studies predicts drug pharmacokinetics across patient populations

Systems pharmacology: predicting population pharmacokinetics in silico Physiologically based modeling together with Bayesian statistics allows the prediction of drug pharmacokinetics in specific patient populations. An interdisciplinary group of clinicians and computational scientists led by Dr. Lar...

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Bibliographic Details
Main Authors: Markus Krauss, Ute Hofmann, Clemens Schafmayer, Svitlana Igel, Jan Schlender, Christian Mueller, Mario Brosch, Witigo von Schoenfels, Wiebke Erhart, Andreas Schuppert, Michael Block, Elke Schaeffeler, Gabriele Boehmer, Linus Goerlitz, Jan Hoecker, Joerg Lippert, Reinhold Kerb, Jochen Hampe, Lars Kuepfer, Matthias Schwab
Format: Article
Language:English
Published: Nature Publishing Group 2017-03-01
Series:npj Systems Biology and Applications
Online Access:https://doi.org/10.1038/s41540-017-0012-5

Internet

https://doi.org/10.1038/s41540-017-0012-5

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