Subject-specific data-driven parameterization of preclinical 3D MRI-based heart models using an efficient algorithm to predict infarct-related tachycardia.
The computational efficiency of contemporary multi-scale digital twins used to investigate cardiac arrhythmia is often hindered by the equation system complexity, while the accuracy of predictions depends on the calibration of model parameters and their intricate non-linear relation. Here we employed a robust pipeline...