Cocktail-conference - World Heart Day

Published on September 21, 2022 Updated on October 24, 2022

on the September 29, 2022

Hôtel Aston La Scala, Nice
 Don't miss the cocktail-conference evening on the theme of the digital heart at Inria Sophia Antipolis-Méditerranée, on September 29 - World Heart Day!

During this evening, experts in cardiology, digital simulation and artificial intelligence will discuss the impact of these technologies on the diagnosis and treatment of cardiac pathologies. This evening is part of SimCardiotest.

SimCardioTest is a research project coordinated by Inria and funded by the European Commission. The objective of this project is to develop new modelling tools to accelerate the adoption of numerical simulations in the design and evaluation of medical devices and drugs.

We are now all aware of the power of digital technologies such as high performance computing and artificial intelligence to analyze data and reinforce innovation. We invite you to imagine the medicine of tomorrow and to travel into this digital future.

6:30 - 7:30 pm - Conferences - Salon Chagall
  • The digital heart | Dr. Maxime Sermesant, Inria
  • Better care thanks to the digital twin | Dr. Nicolas Cedilnik, inHEART
  • Artificial intelligence and cardiac image diagnosis: problems solved? | Dr. Maria A. Zuluaga, Eurecom
  • Artificial intelligence and vascular diseases: where is the translational research? | Dr. Juliette Raffort-Lareyre, Nice University Hospital
7:30 pm - Tasting - Cocktail and demos - Le Bar de l'Aston - 7th floor

7:30 - 8:30 pm - Demonstrations
  • Personalized medication for cardiovascular diseases | Fabien Astic, ExactCure
  • Listen to your heart: Pulse analysis with CardioSensys - 2 minutes to know your health status | Dr Slah Aridih & Dr Melaine Gautier, Sensoria Analytics
  • Planning a ventricular tachycardia ablation using inHEART models | Dr Nicolas Cedilnik, inHEART
  • Towards personalized therapy for atrial fibrillation using artificial intelligence | Dr. Vicente Zarzoso, I3S, Université Côte d'Azur, CNRS
  • How to successfully analyze everyone's heart | Francesco Galati, Eurecom
  • Learning by heart: when machine learning and physical modeling join forces | Victoriya Kashtanova, Inria
  • Multimodal analysis of imaging and ECG for a better understanding of cardiac function | Yingyu Yang, Inria & Marie Rocher, CHU Nice