The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field
Potential benefits of precision medicine in cardiovascular disease (CVD) include more
accurate phenoty** of individual patients with the same condition or presentation, using …
accurate phenoty** of individual patients with the same condition or presentation, using …
Digital twins for multiple sclerosis
I Voigt, H Inojosa, A Dillenseger, R Haase… - Frontiers in …, 2021 - frontiersin.org
An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
The openCARP simulation environment for cardiac electrophysiology
Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …
long and rich tradition of computational modeling. Nevertheless, no community standard for …
[HTML][HTML] A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling
Virtual patients and digital patients/twins are two similar concepts gaining increasing
attention in health care with goals to accelerate drug development and improve patients' …
attention in health care with goals to accelerate drug development and improve patients' …
The physics of heart rhythm disorders
WJ Rappel - Physics reports, 2022 - Elsevier
The global burden caused by cardiovascular disease is substantial, with heart disease
representing the most common cause of death around the world. There remains a need to …
representing the most common cause of death around the world. There remains a need to …
Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function
In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …
computational mesh is crucially important. In practice, the input is typically a set of …
Linking statistical shape models and simulated function in the healthy adult human heart
Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a
poor understanding of how specific and localised anatomical changes affect different …
poor understanding of how specific and localised anatomical changes affect different …
PTB-XL+, a comprehensive electrocardiographic feature dataset
Abstract Machine learning (ML) methods for the analysis of electrocardiography (ECG) data
are gaining importance, substantially supported by the release of large public datasets …
are gaining importance, substantially supported by the release of large public datasets …
POD-enhanced deep learning-based reduced order models for the real-time simulation of cardiac electrophysiology in the left atrium
The numerical simulation of multiple scenarios easily becomes computationally prohibitive
for cardiac electrophysiology (EP) problems if relying on usual high-fidelity, full order models …
for cardiac electrophysiology (EP) problems if relying on usual high-fidelity, full order models …