SOPRANI · European training network for developing Smart neurOmonitoring solutions to support PRecision medicine in Acute central Nervous Injury
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2023-12-01 → 2027-11-30
- Финансиране от ЕС
- 2 141 842 €
- Участници
- 9
- Схема
- HORIZON-TMA-MSCA-DN
Линиите свързват координатора с партньорите.
Накратко на български
Интелигентни системи за невромониторинг анализират данни при инсулти и травми на мозъка и гръбначния стълб. Това помага за по-доброто разпознаване на опасни събития и подобряване на прецизната медицина при критични наранявания на нервната система.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
European training network for developing Smart neurOmonitoring solutions to support PRecision medicine in Acute central Nervous Injury
The central nervous system (CNS) oversees our interactions with the environment and a multitude of internal regulatory mechanisms. In addition, the human brain makes actions purposeful and meaningful. Hence, the brain is the seat of what defines us as human beings. Diseases that affect the brain therefore threaten the individual’s independence and personality, and can have major debilitating effects. The same is true for the spinal cord: injuries affect a person’s independence and dignity. Acute injuries to the CNS, such as traumatic brain and spinal cord injury and stroke, often cause a sudden and critical threat to the body’s integrity to such extent that intensive care management is required to support vital functions and help survival. Between the sixties and nineties of the previous century, it was found that intensive care including physiological monitoring reduced mortality by approximately 10% per decade, but this evolution arrested and we have not made further progress. The reason is – unfortunately – rather obvious: physiological monitoring is restricted to the measurement of separate focally captured variables, such as physical pressures, Doppler signals and metabolite concentrations, with pathological cascades and processes being hidden inside the black box the CNS represents. These processes do not operate as on-off switches, but as dynamic impairments of protective mechanisms and dynamic triggering of harmful molecular pathways, and have a final common effect: loss of neuronal tissue threatening qualitative survival. The SOPRANI project combines 4 feasible aims: 1) to use existing large patient data repositories with patient, injury, monitoring, treatment and outcome data and apply advanced statistical methods in order to improve adverse event detection, predict treatment effects and test treatment algorithms; 2) to use animal models within the network to investigate and develop monitoring tools that elicit actual pathophysiological processes that affect brain and spinal cord perfusion and tissue survival; 3) to use 1 & 2 to develop smart monitoring platforms that better support clinical decision making in the intensive care unit; 4) to create a network of relevant clinical, biomedical, statistical and engineering expertise and transfer essential concepts to the next generation of researchers. Even if only part of the goals are achieved, output is valuable to push the frontiers of neuro-intensive care in order to save brain and spinal cord and improve quality of meaningful life in patients with acute CNS injury. website: www.soprani.eu
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- KATHOLIEKE UNIVERSITEIT LEUVEN · LeuvenКоординаторБелгия
- ACADEMISCH ZIEKENHUIS LEIDEN · LeidenНидерландия
- CHARITE - UNIVERSITAETSMEDIZIN BERLIN · BerlinГермания
- Moberg Analytics, Inc. · AmblerСъединени щати
- ST GEORGE'S HOSPITAL MEDICAL SCHOOL · LondonОбединеното кралство
- THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE · CAMBRIDGEОбединеното кралство
- UNIVERSITAIR MEDISCH CENTRUM UTRECHT · UtrechtНидерландия
- UNIVERSITAT LINZ · LinzАвстрия
- VIB VZW · ZWIJNAARDE - GENTБелгия
Връзки
- Виж в CORDIS
- DOI: 10.3030/101119916
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e507e4f5e6&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50d21446b&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e525d8b37a&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e526a59fc5&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e526a5bd34&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e526a640b1&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e526a640b3&appId=PPGMS
Данни: CORDIS, © Европейски съюз
