A practical guide for the generation of model-based virtual clinical trials

Mathematical modeling has made significant contributions to drug design, development, and optimization. Virtual clinical trials that integrate mathematical models to explore patient heterogeneity and its impact on a variety of therapeutic questions have recently risen in popularity. Here, we outline...

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Bibliographic Details
Published in:	Frontiers in Systems Biology (Online) Vol. 3
Main Authors:	Craig, Morgan, Gevertz, Jana L., Kareva, Irina, Wilkie, Kathleen P.
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 16-06-2023
Subjects:	mathematical modelling model identifiability parameter estimation sensitivity analysis virtual clinical trials virtual patients
Online Access:	Get full text
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Summary:	Mathematical modeling has made significant contributions to drug design, development, and optimization. Virtual clinical trials that integrate mathematical models to explore patient heterogeneity and its impact on a variety of therapeutic questions have recently risen in popularity. Here, we outline best practices for creating virtual patients from mathematical models to ultimately implement and execute a virtual clinical trial. In this practical guide, we discuss and provide examples of model design, parameter estimation, parameter sensitivity, model identifiability, and virtual patient cohort creation. Our goal is to help researchers adopt these approaches to further the use of virtual population-based analysis and virtual clinical trials.
ISSN:	2674-0702 2674-0702
DOI:	10.3389/fsysb.2023.1174647