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Industrialization of Quantitative Systems Pharmacology
Author(s) -
Topp Brian,
Trujillo Maria E.,
Sinha Vikram
Publication year - 2019
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12427
Subject(s) - risk analysis (engineering) , druggability , computer science , portfolio , drug development , management science , data science , business , medicine , engineering , drug , biology , pharmacology , biochemistry , finance , gene
Due to our limited understanding of human pathophysiology, many drugs never become medicines. The use of quantitative systems pharmacology (QSP) has seen many advances with the goal of improving the probability of technical success. Many R&D organizations have invested in QSP models, however, areas that require continuous efforts are best practices, training, education and clear understanding of regulatory expectations. This article is protected by copyright. All rights reserved.

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