Open AccessMethodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation
Author(s) -
Ribba B,
Grimm HP,
Agoram B,
Davies MR,
Gadkar K,
Niederer S,
van Riel N,
Timmis J,
van der Graaf PH
Publication year - 2017
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12206
Subject(s) - computer science , perspective (graphical) , management science , systems pharmacology , development (topology) , mathematics , engineering , pharmacology , medicine , artificial intelligence , mathematical analysis , drug
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.