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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
Biology (General)
QH301-705.5
Acceso en línea:https://doaj.org/article/ec1cdb4109a643779b3939519f2d8816
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ejemplares similares