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Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation.

Ribba, B., Grimm, H. P., Agoram, B., Davies, M. R., Gadkar, K., Niederer, S., van Riel, N., Timmis, Jonathan and van der Graaf, P. H. (2017) Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation. CPT: pharmacometrics & systems pharmacology.

Item Type: Article

Abstract

With the increased interest in the application of quantitative systems pharmacology (QSP) models within medicine research and development, there is an increasing need to formalize model development and verification aspects. In February 2016, a workshop was held at Roche Pharma Research and Early Development to focus discussions on two critical methodological aspects of QSP model development: optimal structural granularity and parameter estimation. We here report in a perspective article a summary of presentations and discussions.

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More Information

Depositing User: Jonathan Timmis

Identifiers

Item ID: 11569
URI: http://sure.sunderland.ac.uk/id/eprint/11569

Users with ORCIDS

Catalogue record

Date Deposited: 27 Feb 2020 14:12
Last Modified: 30 Sep 2020 11:15

Contributors

Author: B. Ribba
Author: H. P. Grimm
Author: B. Agoram
Author: M. R. Davies
Author: K. Gadkar
Author: S. Niederer
Author: N. van Riel
Author: Jonathan Timmis
Author: P. H. van der Graaf

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Data Science

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