A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons.

ABSTRACT: Computational models of disease progression have been constructed for a myriad of pathologies. Typically, the conceptual implementation for pathology-related in-silico intervention studies has been ad-hoc and similar in design to experimental studies. We introduce a multi-scale interventional design (MID) framework toward two key goals: tracking of disease dynamics from within-body to patient to population scale; and tracking impact(s) of interventions across these same spatial scales. Our MID framework prioritizes investigation of impact on individual patients within virtual pre-clinical trials, instead of replicating the design of experimental studies. We apply a MID framework to develop, organize, and analyze a cohort of virtual patients for the study of tuberculosis (TB) as an examp

SUBMITTER: Michael CT 

PROVIDER: S-EPMC11415237 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature