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Financement de l’UE (5 978 344 €) : Les jumeaux DIGItal déployés par Edge AI pour PRÉDIRE la progression de la maladie et la nécessité d’une intervention précoce dans les maladies infectieuses et … Hor17/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »
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Les jumeaux DIGItal déployés par Edge AI pour PRÉDIRE la progression de la maladie et la nécessité d’une intervention précoce dans les maladies infectieuses et cardiovasculaires au-delà de la COVID-19
The interplay between viral infection, host response, development of (hyper)inflammation and cardiovascular injury in COVID-19 is currently poorly understood which makes it difficult to predict which patients remain with mild symptoms only and which patients rapidly develop multi organ failure. The solution offered by DIGIPREDICT is an Edge Artificial Intelligence (AI) based, high-tech personalized computational and physical Digital Twin vehicle representing patient-specific (patho)physiology, with embedded disease progression prediction capability, focusing on COVID-19 and beyond. DIGIPREDICT proposes the first of its kind Digital Twin, designed, developed and calibrated on i) patient measurements of various Digital Biomarkers and their interaction, ii) Organ-On-Chips (OoCs) as physical counterpart using patient blood for personalized screening and iii) integration of those physiological readouts using AI at Edge technologies. The final goal is to identify and validate patient-specific dynamic digital fingerprints of complex disease state and prediction of the progression as a basis for assistive tools for medical doctors and patients. Using and improving state-of-the-art OoCs and Digital Biomarkers (for physiology and biomarkers in interstitial fluid) we will measure detailed response to viral infection. By closely monitoring the response with wearable multi-modal Edge AI patches, we aim to predict in near real-time the progression of the disease, support early clinical decision and to propose patient-specific therapy using existing drugs. We will combine scientific and technical excellence in a highly multi- and inter-disciplinary project, bringing together medical, biological, electronical, computer, signal processing and social science communities around Europe to setup Digital Twin at Edge. We will enable an Edge-to-Cloud vision, significantly advancing current state of the art and setting up a new European community for researching and applying Digital Twins.
| Ascilion AB | 498 000 € |
| CHARITE - UNIVERSITAETSMEDIZIN BERLIN | 643 125 € |
| E.P.O.S. Iasis Research and Development Ltd. | 290 358 € |
| ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 1 158 355 € |
| EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH | 544 813 € |
| Interuniversitair Micro-Electronica Centrum | 564 249 € |
| SCIPROM Sàrl | 246 250 € |
| STICHTING IMEC NEDERLAND | 834 588 € |
| UNIVERSITAET BERN | 405 885 € |
| UNIVERSITEIT TWENTE | 792 723 € |
https://cordis.europa.eu/project/id/101017915
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