MATHEMATICAL AND NUMERICAL MODELLING FOR CARDIOVASCULAR SYSTEM AND EXTERNAL ASSISTED DEVICES

Section: 

 

    KEYWORDS

    - machine learning

    - cardiovascular system

    - patient-specific medical devices

 

 

 

KNOW-HOW

Mathematical and numerical modelling for cardiovascular system and external assisted devices, patient specific simulations based on clinical data, uncertainty quantification, machine learning and medical imaging from CT/MRI.

 

DESCRIPTION

Development of model order reduction techniques for cardiovascular problems via ARGOS, a real time computational webserver.

Mathematical modelling and physical testing of bio-inspired, patient-specific medical devices.

 

MAIN ADVANTAGES

Mathematical and numerical modelling of vascularized tissues.

Enhancing cancer tissue recognition and pathologies of brain waste clearance mechanisms.

 

POTENTIAL COLLABORATION

Collaborations with hospitals

 

SCIENTIFIC REFERENT

Gianluigi Rozza, Full Professor in Numerical Analysis and Scientific Computing at SISSA mathLabMathematics Area