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Preclinical QSP Modeling in the Pharmaceutical Industry: An IQ Consortium Survey Examining the Current Landscape

Title: Preclinical QSP Modeling in the Pharmaceutical Industry: An IQ Consortium Survey Examining the Current Landscape
Authors: Nijsen, Marjoleen J.M.A.; Wu, Fan; Bansal, Loveleena; Bradshaw‐Pierce, Erica; Chan, Jason R.; Liederer, Bianca M.; Mettetal, Jerome T.; Schroeder, Patricia; Schuck, Edgar; Tsai, Alice; Xu, Christine; Chimalakonda, Anjaneya; Le, Kha; Penney, Mark; Topp, Brian; Yamada, Akihiro; Spilker, Mary E.
Source: CPT: Pharmacometrics & Systems Pharmacology ; volume 7, issue 3, page 135-146 ; ISSN 2163-8306 2163-8306
Publisher Information: Wiley
Publication Year: 2018
Collection: Wiley Online Library (Open Access Articles via Crossref)
Description: A cross‐industry survey was conducted to assess the landscape of preclinical quantitative systems pharmacology (QSP) modeling within pharmaceutical companies. This article presents the survey results, which provide insights on the current state of preclinical QSP modeling in addition to future opportunities. Our results call attention to the need for an aligned definition and consistent terminology around QSP, yet highlight the broad applicability and benefits preclinical QSP modeling is currently delivering.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1002/psp4.12282
Availability: https://doi.org/10.1002/psp4.12282; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fpsp4.12282; https://ascpt.onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12282
Rights: http://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edsbas.83CAAC09
Database: BASE