Model-based contextualization of in vitro toxicity data quantitatively predicts in vivo drug response in patients.
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A Comparative Analysis of Drug-Induced Hepatotoxicity in Clinically Relevant Situations.Multiscale modeling reveals inhibitory and stimulatory effects of caffeine on acetaminophen-induced toxicity in humans.Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model.Using quantitative systems pharmacology to evaluate the drug efficacy of COX-2 and 5-LOX inhibitors in therapeutic situations
P2860
Model-based contextualization of in vitro toxicity data quantitatively predicts in vivo drug response in patients.
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2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Model-based contextualization ...... ivo drug response in patients.
@ast
Model-based contextualization ...... ivo drug response in patients.
@en
type
label
Model-based contextualization ...... ivo drug response in patients.
@ast
Model-based contextualization ...... ivo drug response in patients.
@en
prefLabel
Model-based contextualization ...... ivo drug response in patients.
@ast
Model-based contextualization ...... ivo drug response in patients.
@en
P2093
P2860
P1476
Model-based contextualization ...... vivo drug response in patients
@en
P2093
Christoph Thiel
Henrik Cordes
Isabel Conde
Lars Mathias Blank
P2860
P2888
P304
P356
10.1007/S00204-016-1723-X
P577
2016-05-09T00:00:00Z
P6179
1012106104