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.

[img] PDF
psp4.12206 - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (27kB)

Search Google Scholar

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.

Item Type: Article
Subjects: Computing > Data Science
Divisions: Faculty of Technology > School of Computer Science
Depositing User: Jonathan Timmis
Date Deposited: 27 Feb 2020 14:12
Last Modified: 27 Feb 2020 14:12
URI: http://sure.sunderland.ac.uk/id/eprint/11569

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year