Cardiac computational modelling

Proposing a Caputo-Land System for active tension. Capturing variable viscoelasticity

“…Cardiac modeling is crucial to understanding cardiac functions in both health and disease. Specifically, it sheds light on pathological and physiological cardiac processes that are difficult to quantify in-vivo or in-vitro, connecting those processes to their underlying cellular mechanisms [ [1] , [2] , [3] , [4] , [5] , [6] ], as well as serving to predict cardiotoxic drug interactions on a patient-specific basis [ [7] , [8] , [9] ].…”

Arrhythmogenic vulnerability of reentrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling

“…Over the last decade, a more personalized assessment of the proarrhythmogenic substrate has been proposed by using virtual (computational-based) heart models that include the individual-specific anatomical substrate and electrophysiological properties adjusted to the underlying substrate. 8 , 9 Most results have been reported with models incorporating a cardiac magnetic resonance (CMR) imaging–based substrate of patients with ischaemic cardiomyopathy. 10 Multiple studies and groups have shown the potential clinical value of virtual heart models to aid physicians and interventional cardiologists in the prognosis, diagnosis, and treatment of complex ventricular arrhythmia.…”