Projet SOPRANI (Horizon Europe, appel à projets 2022)
Action : Doctoral Networks
Panel : Life Sciences
Statut du projet : SIGNED

In traumatic brain/spinal cord injury and stroke – major causes of death and disability -, progress has come from monitored intensive care and swift action upon detection of secondary insults. Although it is possible to monitor intracranial pressure, the brain & spinal cord still behave as a black box. Current measurable signals only roughly represent ongoing pathophysiological processes, and dynamic insults (eg impaired autoregulation and neurovascular unit dysfunction) cannot be reliably monitored. As a result, no therapeutic action has been shown to be beneficial in randomized patient trials. The project goal is to prepare novel dynamic insult monitoring technologies and to develop improved decision support by integrating disease models and insult/treatment ontologies into smart multimodality monitor software. A parallel goal is to unite high level expertise in clinical, biomedical, statistical and engineering sciences into one network to boost the next generation of researchers to substantially advance the field of neuromonitoring. The network includes 3 relevant animal models and access to large (multi)center patient databases with injury, treatment & outcome data (eg Center-TBI). Direct autoregulation visualization in the cranial window piglet model will be elaborated to improve circulation models and relations with measurable high resolution signals to develop a real-time autoregulation monitor. These metrics will be associated with spreading depolarizations, vasospasm, ischemia and brain function in the rodent stroke models. The models and monitor technology are highly transferrable to patient care. Patient data will be used to build multidimensional statistical disease models. Insult and treatment ontologies will be developed in parallel with insult prediction and insult burden visualization concepts. Smart monitor platforms that aid precision medicine in acute central nervous system injury close to trials and future innovation leaders are expected results.

Mots clés : traumatic brain injury, spinal cord injury, stroke, neuro icu, disease model, secondary insult visualization, neurovascular unit dysfunction monitoring, smart neuromonitoring, decision support

Participants :
- University Medical Center Utrecht (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 548740.8 €
- Université de Cambridge (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Linz (Autriche) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 270331.2 €
- St George's, University of London (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Moberg analytics, inc. (Etats-Unis) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Hôpital universitaire de la Charité de Berlin (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 260539.2 €
- KU Leuven (Belgique) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 525240.0 €
- Leiden University Medical Center (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 274370.4 €
- Vlaams Instituut voor Biotechnologie (Belgique) — Partner, beneficiary, Recherche, subvention : 262620.0 €