Real-World Data and Physiologically-Based Mechanistic Models for Precision Medicine

被引：3

作者：

Wang, Ken ^{[1
]}

Parrott, Neil ^{[1
]}

Olivares-Morales, Andres ^{[1
]}

Dudal, Sherri ^{[1
]}

Singer, Thomas ^{[1
]}

Lave, Thierry ^{[1
]}

Ribba, Benjamin ^{[1
]}

机构：

[1] Roche Pharmaceut Res & Early Dev, Roche Innovat Ctr Basel, Pharmaceut Sci, Basel, Switzerland

来源：

CLINICAL PHARMACOLOGY & THERAPEUTICS | 2020年 / 107卷 / 04期

关键词：

D O I：

10.1002/cpt.1780

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

The assessment of a therapeutic window for pharmaceutical compounds requires the integration of multidimensional data. In this perspective, we highlight how the increased volume of medical and healthcare data, and, in particular, real-world data (RWD), can be integrated within physiologically based modeling framework. We illustrate this perspective view with specific case studies related to pharmacokinetic and cardiac safety predictions.

引用

页码：694 / 696

页数：3

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