A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions (CVDLINK)

 

Project no.: 101137278

Project description:

The project “CVDLINK: A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions” brings together 19 partners from 10 European countries and Israel. The project is coordinated by SIMAVI, a Romanian advanced software company; other project partners include universities, research institutes, and companies from Lithuania, Germany, Ireland, Greece, Austria, Finland, Spain, Moldova, and Estonia. The 4-year project is funded by the EU research and innovation programme “Horizon Europe”.

More than 6 million new cases of cardiovascular disease (CVD) are reported each year in the European Union, causing 1.8 million deaths. This is a significant burden on healthcare systems and society. Effective interventions are expected to manage CVD and reduce health system costs. The CVDLINK project aims to address the challenges related to patient health data by developing a pan-European software platform-service for effective data-driven interventions. The platform, built on advanced federated principles, will integrate existing and future sources of medical data, ensuring data security and privacy. It will offer tools for diagnosis and treatment based on artificial intelligence. The project will validate these tools in five countries and promote their use through best practices and awareness campaigns.

Project funding:

EU Research and Innovation Funding Programme “Horizon Europe”


Project results:

The Biomedical Engineering Institute has experience in developing signal processing algorithms, participating in clinical trials, and registering biosignal databases, and will lead three tasks and contribute to 14 tasks. These tasks will include the development of technical requirements and solutions for the security and privacy of the integrated system, the development of a module for medical data annotation using active machine learning algorithms, a clinical study, and a study of the effectiveness of the system using retrospective and prospective data from patients with heart and kidney disease.

Period of project implementation: 2024-01-01 - 2027-12-31

Project coordinator: SOFTWARE IMAGINATION & VISION SRL (SIMAVI)

Project partners: University of Hamburg, Tampere University of Applied Sciences, Aristotle University of Thessaloniki (AUTH), Technische Universitat Darmstadt, University of Tartu (UT), TRILATERAL RESEARCH LIMITED (TRI IE), INSTITUTIA MEDICO-SANITARA PUBLICA 'INSTITUTUL DE CARDIOLOGIE' IN PROCES DE REORGANIZARE (IMSP), Fundacion Centro De Tecnologias De Interaccion Visual Y Comunicaciones Vicomtech, PIRKANMAAN HYVINVOINTIALUE (TAUH), Technische Universitat Darmstadt, VERACELL OY (VER), ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH), WELLICS EFARMOGES EREVNAS KAI PLIROFORIKIS MONOPROSOPI I.K.E. (WCS), SYNYO GmbH (SYNYO), IATRIKO ATHINON EMPORIKI ANONYMOS ETAIREIA (AMC), MEDICAL RESEARCH FOUNDATION DEVELOPMENT OF INFRASTRUCTURE AND HEALTH SERVICES NEAR HILLEL YAFFE MEDICAL CENTER (HYMC)

Head:
Vaidotas Marozas

Duration:
2024 - 2027

Department:
Biomedical Engineering Institute