Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development.

Timmis, Jonathan, Alden, K, Andrews, P, Clark, E, Nellis, A, Naylor, B, Coles, M and Kaye, P (2016) Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development. CPT: Pharmacometrics & Systems Pharmacology. ISSN 2163-8306

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Abstract

This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic discovery and design of intervention strategies. Structured arguments over a model's development, underpinning biological knowledge, and analyses of model behaviors are constructed to determine the confidence that a model is fit for the purpose for which it will be applied.

Item Type: Article
Subjects: Computing > Data Science
Divisions: Faculty of Technology > School of Computer Science
Depositing User: Jonathan Timmis
Date Deposited: 27 Feb 2020 14:20
Last Modified: 27 Feb 2020 14:20
URI: http://sure.sunderland.ac.uk/id/eprint/11570

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