Tackling High Dimensionality in QSP: Guiding Model Order Reduction With Index Analysis.

ABSTRACT: Quantitative systems pharmacology (QSP) models offer a useful platform to integrate drug pharmacology with knowledge about biological mechanisms across multiple scales and data sources into a unified quantitative framework. This makes them invaluable to address many relevant questions in drug research and development. Despite their potential, however, QSP models are seldom employed in the population analysis context due to their complexity and dimensionality. Model order reduction (MOR) techniques can be used to tackle this challenge. However, a single MOR technique might not be sufficient to achieve an applicable reduced model. Furthermore, to date there is no tool to judge whether the reduced model retains important mechanistic features of the original model. In this tutorial, we present

SUBMITTER: Tillil J 

PROVIDER: S-EPMC12823791 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature