NEUROVASC, PEPR Digital Health: Richard REDON (2023-2027)
The ambition of NEUROVASC is to set up an optimal digital ecosystem to develop predictive tools/models for 5P medicine (personalised, predictive, preventive, participatory, pertinent) to prevent the development of intracranial aneurysms (ICA) and stroke, relying mostly on the distinctive resources developed by the French clinical network in neuroradiology (clinical, imaging and genetics data).
Our work program is organised around 3 main developments:
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The set up of an interoperable infrastructure bridging the gap between research and healthcare, for the management of ICA datasets within secure IT environments.
To this end, data collection via a storage platform called Shanoir has been streamlined, a tool to facilitate image uploading has already been installed in five hospitals, and a dashboard for monitoring participant enrolment is freely available. In parallel, a web application for organising and storing the project’s genetic data has been implemented on the Nantes University infrastructure operated by the BiRD platform. -
The development of new methods for the optimal use of imaging, genetic and clinical resources, by creating interoperable datasets and predictive models for ICA diagnosis and potential outcomes.
Standardisation and secure management tools have been designed to facilitate the handling and exchange of genomic data in healthcare.
Process mining methods are also being investigated to identify the day-to-day care pathways of patients with unruptured ICA, and to assess their compliance with public guidelines.
Finally, non-additive models for the overall prediction of genetic risk of ischaemic stroke have been developed using synthetic data generated in a previous stage. - Proof-of-concept studies with autonomous conversational agents, mobile applications and digital monitoring to collect and analyse behavioural data from patients diagnosed with an ICA, or who had a stroke, in order to better support them in their daily lives.
The knowledge gained from the exploitation of the data made available by this project will translate into better patient care with the identification of at-risk individuals of ICA rupture, the development of personalised care pathways and the improvement of patient recovery and quality of life.
Project website
