Commentary on Fit-For-Purpose Models for Regulatory Applications

被引:12
|
作者
Wang, Yaning [1 ]
Huang, Shiew Mei [1 ]
机构
[1] US FDA, Off Clin Pharmacol, Off Translat Sci, Silver Spring, MD 20903 USA
关键词
regulatory science; pharmacokinetic/pharmacodynamic (PK/PD) modeling; physiologically based pharmacokinetic (PBPK) modeling; computational; ADME; clinical trial simulation(s); SCIENCE;
D O I
10.1016/j.xphs.2018.09.009
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
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. (c) 2019 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:18 / 20
页数:3
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