Project description
Precision medicine in brain and spinal cord injuries
Traumatic brain/spinal cord injuries and strokes remain leading causes of death and disability, with limited treatment options due to the complexities of monitoring and understanding the underlying pathophysiological processes. With the support of Marie Skłodowska-Curie Actions, the SOPRANI project is a collaborative effort between clinical, biomedical, statistical, and engineering sciences. It seeks to tackle this challenge head-on. By developing novel dynamic insult monitoring technologies and integrating disease models and insult/treatment ontologies into smart multimodality monitor software, the project aims to provide improved decision support for clinicians. Access to relevant animal models and large patient databases will aid in the development of real-time autoregulation monitors and statistical disease models, paving the way for precision medicine in acute central nervous system injuries.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdatabases
- medical and health sciencesbasic medicineneurologystroke
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
3000 Leuven
Belgium