Projects

Showing 1 - 5 results of 5

Cardiovascular diseases remain the main cause of mortality worldwide; in particular, heart failure (HF) poses complex challenges in clinical practice, as it is associated with a significant variability in aetiologies, manifestations and risks, as well as in its progression andtrajectories over time. Clinical risks of HF can vary from reduced cardiac function and regular...

Nueve universidades y centros de investigación han puesto en marcha la Red Española de Investigación en Modelización Computacional Cardiaca. Bajo el acrónimo V-Heart SN, esta red pretende facilitar la utilización de corazones virtuales -modelos computacionales- en la práctica clínica diaria, lo que permitirá el...

The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence (AI) in oncology. Firstly, the EuCanImage platform will be populated with a completely new data resource totaling over 25,000 single subjects, which will allow to investigate unmet...

Modeling the heartbeat is a highly complex task that involves several scales and different tightly coupled problems. A large number of spatial orders of magnitude are linked, from the microscopic cell arrangement into a volumetric description, to the macroscopic shape of the cardiac chambers. In the same way, several temporal scales coexist, from...

According to the 2014 European Society of Cardiology Guidelines, cardiomyopathies are defined as structural and functional abnormalities of the ventricular myocardium that are unexplained by flow limiting coronary artery disease or abnormalloading conditions. There are four major classifications of cardiomyopathy:

  • hypertrophic (HCM),
  • dilated...