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Drug Discovery Today
Volume 6, Issue 15, 1 August 2001, Pages 802-806
 
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doi:10.1016/S1359-6446(01)01855-4    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2001 Elsevier Science Ltd. All rights reserved.

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Modelling and simulation in clinical drug development

Kieran F. RooneyCorresponding Author Contact Information, E-mail The Corresponding Author, Eric Snoeck and Philip H. Watson

Pharsight Corporation, Argentum Centre, 2 Queen Caroline Street, London, UK W6 9DT


Available online 18 July 2001.

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Abstract

Pharmaceutical companies are under greater pressure than ever before to improve the R&D process [1]. There is a growing need to increase productivity in R&D, and to use technologies that can both increase and more efficiently facilitate the flow of products through the development pipeline. This article describes how the twin processes of modelling and simulation are being used to improve the efficiency of the clinical drug-development process, and consequently how these methodologies have delivered significant benefits in the drive to save time, money (and additionally assisted in ensuring an ‘optimal quality’ drug label) in the development of novel therapeutic agents.

Author Keywords: computer-assisted trial design; clinical trials; electronic data management

Subject-index terms: Bioinformatics; Structural Biology; Techniques & Methods; Pharmaceutical Science; Drug Discovery

Article Outline

1. Traditional paradigm in clinical drug development
2. A novel paradigm using quantitative analysis
3. CATD in practice – some examples of the decision tree
4. Conclusion
References



Drug Discovery Today
Volume 6, Issue 15, 1 August 2001, Pages 802-806
 
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