The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

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 …

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 …

Survivors of myocardial infarction are at risk of life-threatening ventricular tachycardias (VTs)
later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) …

Computer models capable of representing the intrinsic personal electrophysiology (EP) of
the heart in silico are termed virtual heart technologies. When anatomy and EP are tailored …

Acute excessive ethyl alcohol (ethanol) consumption alters cardiac electrophysiology and
can evoke cardiac arrhythmias, eg, in 'holiday heart syndrome'. Ethanol acutely modulates …

Personalized heart models are widely used to study the mechanisms of cardiac arrhythmias
and have been used to guide clinical ablation of different types of arrhythmias in recent …

Cardiac Purkinje networks are a fundamental part of the conduction system and are known
to initiate a variety of cardiac arrhythmias. However, patient-specific modeling of Purkinje …

Ventricular arrhythmias are the primary cause of sudden cardiac death and one of the
leading causes of mortality worldwide. Whole-heart computational modeling offers a unique …

The combination of machine learning methods together with computational modeling and
simulation of the cardiovascular system brings the possibility of obtaining very valuable …