Project leader Inria
The standardised platform and the implemented use cases will be exploited to perform in-silico trials. Simulations corresponding to real measurements will be ran to quantify the realism of the in-silico results.
This work will also leverage recent advances in data science to explore the richness of the data generated to explore the richness of the data generated by the simulations. This will lead to the discovery of new and more relevant indices for evaluating medical device design or drug efficacy/toxicity.
Course of action
- Running of in-silico trials for each of the selected use case. This will enable to evaluate the in-silico results with respect to acquired data.
- Proposition of more advanced statistical analysis of the data generated by the in-silico trials, leveraging recent advances in data science (deep learning, variational autoencoders…) to explore whether new features and methods could reveal a better use of the simulations and potentially discover new biomarkers.
The video below is a recorded demo demonstrating the first version of the cloud-based platform developed for Use Case 1, showing pacing device simulation.
This one is a recorded demo demonstrating the first version of the cloud-based platform developed for Use Case 2, showing LAAO simulation.
The video on the right is a recorded demo demonstrating the first version of the
cloud-based platform developed for or Use Case 3, showing drugs simulation.
Simulation of healthy heart @Gaetan Desrues, Inria
Simulation of Left Bundle Branch Bloc @Gaetan Desrues, Inria