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Updated: Jul 31, 2025

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Virtual patients, digital twins and causal disease models: Paving the ground for in silico clinical trials
Philippe Moingeon1, Marylore Chenel2, Cécile Rousseau3
1Servier, Suresnes, France.
Abstract:
Computational models are being explored to simulate in silico the efficacy and safety of drug candidates and medical devices. Disease models that are based on patients' profiling data are being produced to represent interactomes of genes or proteins and to infer causality in the pathophysiology, which makes it possible to mimic the impact of drugs on relevant targets. Virtual patients designed from medical records as well as digital twins are generated to simulate specific organs and to predict treatment efficacy at the individual patient level. As the acceptance of digital evidence by regulators grows, predictive artificial intelligence (AI)-based models will support the design of confirmatory trials in humans and will accelerate the development of efficient drugs and medical devices.
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