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Modeling Cluster

Together with INRIA, the team is developing new digital models for the modelling and simulation of the heart's electrical and mechanical activity.

The work of these experts in mathematics and computer science helps to understand rhythm disorder mechanisms better. They analyse unpublished clinical data in silico (via computer models), visualise and design personalised therapies using predictive models.

Virtual personalised hearts are built using clinical data and high-performance computing algorithms to solve several million equations on supercomputers. 

The Modelling team's projects aim to make simulations reliable and accessible to the medical community and to integrate them into clinical practice :

  • Solving the inverse problem (understanding the causes behind arrhythmia from the simulation of new problem-solving techniques).
  • The simulation of radiofrequency catheter ablation to guide live procedures from personalised virtual heart models to improve procedure success rates,
  • Model building for resynchronisation,
  • Modelling of the wave (delivered) generated during defibrillation to lower the pain threshold.
TEAM
Edward Vigmond
Researcher - Team Leader
Jason Bayer
Post-Doctoral Researcher
Mostafa Bendhamane
Lecturer
Oumayma Bouhamama
PhD Student
Julien Bouyssier
Post-Doctoral Researcher
Yves Coudière
Professor
Yingjing Feng
PhD Student
Namit Gaur
Post-Doctoral Researcher
Jacques Henry
Emeritus Research Director
Peter Langfield
Post-Doctoral Researcher
Michael Leguebe
Researcher
Joost Lumens
Visiting Professor
Mohamadou Malal Diallo
Post-Doctoral Researcher
Pauline Migerditichan
Engineer
Angel Moreno Entrenas
Post-Doctoral Researcher
Mark Potse
Visiting Professor
Jairo Rodríguez Padilla
Post-Doctoral Researcher
Bachar Tarraf
PhD Student
Lisl Weynans
Lecturer
Nejib Zemzemi
Researcher