| Literature DB >> 30244011 |
Yaning Wang1, Shiew Mei Huang2.
Abstract
Model-based analyses have been applied to influence various drug development and regulatory decisions in the last 2 decades. Applied models range from empirical models to highly complex mechanistic models. "Fit-for-purpose" has been the principle to determine the level of model complexity. While numerous case studies have been published to highlight the impact and value of model-based analyses, more experience and lessons are being accumulated to address new challenges and create more opportunities. The inclusion of Model-Informed Drug Development in the Prescription Drug User Fee Act (PDUFA) VI represents a new landmark for the field of quantitative clinical pharmacology.Keywords: ADME; clinical trial simulation(s); computational; pharmacokinetic/pharmacodynamic (PK/PD) modeling; physiologically based pharmacokinetic (PBPK) modeling; regulatory science
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Year: 2018 PMID: 30244011 DOI: 10.1016/j.xphs.2018.09.009
Source DB: PubMed Journal: J Pharm Sci ISSN: 0022-3549 Impact factor: 3.534