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Developing PreDICT – a fully integrated data platform for preclinical in vivo data: learning from experience.

Authors :
Jones, Rhys D.o.
Cooke, Marie
Hinchliffe, James
Morley, Justin
Barry, Simon T.
Source :
Drug Discovery Today. Oct2017, Vol. 22 Issue 10, p1539-1546. 8p.
Publication Year :
2017

Abstract

In vivo models have been crucial for developing our understanding of key processes associated with human disease and developing novel therapeutics. These in vivo studies are becoming increasingly complex, requiring long-term efficacy data and additional supportive datasets such as pharmacokinetic profiles and analysis of multiple biomarkers of pharmacodynamic response and efficacy. Moreover, a new agent will be investigated in many different models and often in combination with other drugs. Despite advances across the industry integrating and analysing complex datasets, management of in vivo data remains an ongoing challenge across the industry. Here, we describe a project that has successfully delivered a working solution to integrate pharmacokinetic, biomarker and efficacy data, independent of therapy area. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13596446
Volume :
22
Issue :
10
Database :
Academic Search Index
Journal :
Drug Discovery Today
Publication Type :
Academic Journal
Accession number :
125723629
Full Text :
https://doi.org/10.1016/j.drudis.2017.07.014