Mathematical and computational modeling of the cardiovascular system is increasingly
providing non‐invasive alternatives to traditional invasive clinical procedures. Moreover, it …

Inverse modeling approaches in cardiovascular medicine are a collection of methodologies
that can provide non-invasive patient-specific estimations of tissue properties, mechanical …

The potential impact of hemodynamic and vascular wall models on the diagnosis, treatment,
and well-being of thousands of patients suffering from cardiovascular diseases, is …

Background and objective This study investigates the application of a Predictive Surrogate
Model (PSM) for the prediction of the fluid and solid variables in the abdominal aorta by …

Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …

Detailed models of dynamical systems used in the life sciences may include hundreds of
state variables and many input parameters, often with physical meanings. Therefore …

This study creates a physiologically realistic virtual patient database (VPD), representing the
human arterial system, for the primary purpose of studying the effects of arterial disease on …

Objective: Cirrhosis is the common end stage of any given chronic liver disease, developing
after persistent destruction and regeneration of parenchymal liver cells. The associated …

The combination of extracorporeal membrane oxygenation (ECMO) and continuous renal
replacement therapy (CRRT) pose complex hemodynamic challenges in intensive care. In …

Aortic stenosis, hypertension, and left ventricular hypertrophy often coexist in the elderly,
causing a detrimental mismatch in coupling between the heart and vasculature known as …