Research Topic · Peer-Reviewed

Clinical Trial Simulations

Clinical trial simulations are computer models used by health researchers to predict the results of clinical trials before they are carried out. This can save time, money and resources by allowing researchers to understand the likelihood of a particular clinical trial hitting its target outcome. Simulations also ena…

Curated from this journal's research 📚 1 peer-reviewed article cited 🗓 Reviewed July 2026

Overview

Clinical trial simulations are computer models used by health researchers to predict the results of clinical trials before they are carried out. This can save time, money and resources by allowing researchers to understand the likelihood of a particular clinical trial hitting its target outcome. Simulations also enable researchers to develop and test different study designs and identify the most promising treatments. By using simulations, researchers can better understand and anticipate the potential outcomes of clinical trials, and make better decisions about how to run the trial and how to interpret the results. Ultimately, clinical trial simulations can help researchers to deliver more successful clinical trials and lead to better treatments for patients.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in In-vitro In-vivo In-silico Journal.

Journal editorial board
George Kordas · Russia

This page summarises published research for orientation; it is not medical or professional advice.