Figures
Simulating the Digital Twin Heart for Precision Cardiac Therapy
This image illustrates a digital twin heart framework designed for personalized cardiovascular treatment. A patient-specific virtual heart is constructed using mechanistic and statistical models informed by disease-relevant variables. When localized signs of heart disease are detected (highlighted in red), sex-specific digital twins are generated and exposed to thousands of drug simulations. The treatment demonstrating optimal efficacy on the patient’s twin (highlighted in green) is selected for clinical use. This approach enables precision therapy tailored to individual biological and sex-specific factors, representing a convergence of computational modeling and personalized medicine. Bai et al. 2025
Image Credit: Jieyun Bai
Citation: (2025) PLoS Computational Biology Issue Image | Vol. 21(7) August 2025. PLoS Comput Biol 21(7): ev21.i07. https://doi.org/10.1371/image.pcbi.v21.i07
Published: August 6, 2025
Copyright: © 2025 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This image illustrates a digital twin heart framework designed for personalized cardiovascular treatment. A patient-specific virtual heart is constructed using mechanistic and statistical models informed by disease-relevant variables. When localized signs of heart disease are detected (highlighted in red), sex-specific digital twins are generated and exposed to thousands of drug simulations. The treatment demonstrating optimal efficacy on the patient’s twin (highlighted in green) is selected for clinical use. This approach enables precision therapy tailored to individual biological and sex-specific factors, representing a convergence of computational modeling and personalized medicine. Bai et al. 2025
Image Credit: Jieyun Bai