Computers in Biology and Medicine
Heart failure remains a major global burden, and limited donor availability has made left ventricular assist devices (LVADs) a critical alternative. However, most studies of left ventricular (LV) flow under LVAD support rely on single cases or small cohorts, contributing to large variability in inflow cannula designs and limiting population-level understanding of how LV morphology influences haem…
Permutation entropy (PE) has been widely used to assess the complexity of time series and, in this context, has been applied to the analysis of various types of signals. In this paper, we advance the theory related to PE by defining joint entropy, mutual information, and quadratic dependence measures based on so-called graph permutation entropies. Similarly to their original counterparts commonly…
Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms
Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrhage, a severe form of stroke with high mortality and morbidity. Endovascular treatments, such as coiling and flow diversion, aim to induce thrombosis within the aneurysmal sac. Clinicians face challenges in predicting clot formation due to the comple…
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