A General Framework for Assessing In vitro/In vivo Correlation as a Tool for Maximizing the Benefit‐Risk Ratio of a Treatment Using a Convolution‐Based Modeling Approach-Reference-Cited by-同舟云学术

A General Framework for Assessing In vitro/In vivo Correlation as a Tool for Maximizing the Benefit‐Risk Ratio of a Treatment Using a Convolution‐Based Modeling Approach

Published:2019-02 Issue:2 Volume:8 Page:97-106
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Gomeni Roberto¹^ORCID,Fang Lanyan (Lucy)²,Bressolle‐Gomeni Françoise¹,Spencer Thomas J.³,Faraone Stephen V.⁴,Babiskin Andrew²

Affiliation:

1. Pharmacometrica La Fouillade France

2. Division of Quantitative Methods and Modeling Office of Research and Standards Office of Generic Drugs Center for Drug Evaluation and Research US Food and Drug Administration Silver Spring Maryland USA

3. Massachusetts General Hospital Boston Massachusetts USA

4. SUNY Upstate Medical University Syracuse New York USA

Funder

U.S. Food and Drug Administration

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12378

Reference20 articles.

1. Response Surface Analysis and Nonlinear Optimization Algorithm for Maximization of Clinical Drug Performance: Application to Extended-Release and Long-Acting Injectable Paliperidone