Digital twin

Faithful anatomical and functional representation of a specific subject.


In-silico modeling and simulation of cardiac arrhythmia.


Hemodynamics modeling and simulation.

Machine learning

Prediction and classification algorithms to analyse the data obtained from the simulations.

Treatment planning

Artificial intelligence-based cardiac risk assessment and planning of cardiac interventions.

Dynamic systems modeling

Describing and predicting interactions over time between multiple elements of a system.
Completed Projects
Journal Articles
Research Members
Winning Awards
Research Group
About us

The group's activities are divided, on the one hand, into research oriented towards biomedical simulation (electrophysiology and fluids) and, on the other, research into automatic learning models (classical + deep learning) capable of handling large volumes of data, thus offering very useful applications for the medical sector based on the multiple simulation results derived from classical techniques and acquired in different projects.