ArticleFrontiers in systems biology2023
A practical guide for the generation of model-based virtual clinical trials.
Article in Frontiers in systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring the potential of computer simulation models in drug testing and biomedical research: a systematic review.Frontiers in pharmacology · 2025Pooled it
- Synthetic control methods for n-of-1 and parallel-group trials in Alzheimer's disease: A proof-of-concept study using the I-CONECT.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Trial
- Structured Schemas for Provenance-Rich, LLM-Assisted QSP Model Calibration.CPT: pharmacometrics & systems pharmacology · 2026Article
- Structured Schemas for Provenance-Rich, LLM-Assisted QSP Model Calibration.bioRxiv : the preprint server for biology · 2026Article
- Model-Based Virtual Clinical Trial Reveals Renal Impairment and Body Size as Key Determinants of Pharmacokinetic Variability and Drug-Drug Interaction Risk in Propranolol Therapy.Pharmaceutics · 2026Article
- A virtual cohort framework with applications to adoptive cell therapy in bladder cancer.bioRxiv : the preprint server for biology · 2026Article
- Clinical Trial Simulation: Planning With the OCTAVE Framework, Implementation and Validation Principles.Statistics in medicine · 2026Article
- From Population-Based PBPK to Individualized Virtual Twins: Clinical Validation and Applications in Medicine.Journal of clinical medicine · 2026Review
- A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.Bulletin of mathematical biology · 2026Article
- Delaying cancer progression by integrating toxicity constraints in a model of adaptive therapy.NPJ systems biology and applications · 2026Article
- From digital twins to clinically trustworthy twins: a clinical-claim-based validation framework for personalized digital health.Frontiers in digital health · 2026Article
- Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making.Cancer research · 2025Review
- A Step-by-Step Workflow for Performing In Silico Clinical Trials With Nonlinear Mixed Effects Models.CPT: pharmacometrics & systems pharmacology · 2025Article
- Sensitivity analysis of key CT simulation parameters and their impact on quality of virtual images.Medical physics · 2025Article
- Trajectory-matching ABC-MCMC for simulating heterogeneous dynamics in mechanistic models.bioRxiv : the preprint server for biology · 2025Article
- Bridging the United States population diversity gaps in clinical research: roadmap to precision health and reducing health disparities.Personalized medicine · 2025Review
- Review
- Sensitivity analysis for exploring the variability and parameter landscape in virtual patient cohorts of multi-vessel coronary artery disease.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Validating the predictions of mathematical models describing tumor growth and treatment response.ArXiv · 2025Article
- A Novel Attention-based Network for Geometry Reconstruction with Error Estimation from Medical Images.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.