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

Project Information

CVDLINK

Grant agreement ID: 101137278

DOI

10.3030/101137278

EC signature date 7 December 2023

Start date 1 January 2024

End date 31 December 2027

Funded under

• Health

Total cost

€ 9 673 490,00

EU contribution

€ 9 673 490,00

Coordinated by

SOFTWARE IMAGINATION AND VISION SRL
Romania

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

CVDLINK public website

The project dedicated public website

Documents, reports (2)

CVDLINK raising awareness & dissemination plan

including project’s web-presence and communication kit (the plan will be internally updated on M24)

CVDLINK user requirements, gaps and challenges

report on user requirement, challenges, pathways, pain-points and initial definition of business processes.

Publications

Conference proceedings (1)

Enhancing Cardiac AI Explainability Through Ontology-Based Evaluation

Author(s): Nikos Tsolakis, Christoniki Maga-Nteve, Stefanos Vrochidis, Nick Bassiliades, Georgios Meditskos
Published in: 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024
Publisher: IEEE
DOI: 10.1109/IISA62523.2024.10786663

Peer reviewed articles (2)

Predicting long-term risk of sudden cardiac death with automatic computer-interpretations of electrocardiogram

Author(s): Minna Järvensivu-Koivunen, Antti Kallonen, Mark van Gils, Leo-Pekka Lyytikäinen, Juho Tynkkynen, Jussi Hernesniemi
Published in: Frontiers in Cardiovascular Medicine, Issue 11, 2024, ISSN 2297-055X
Publisher: Frontiers Media SA
DOI: 10.3389/FCVM.2024.1439069

Privacy-preserving multicenter differential protein abundance analysis with FedProt

Author(s): Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari, Christine von Toerne, Teresa K. Barth, Lisa Schweizer, Pieter Giesbertz, Johannes R. Schmidt, Stefan Kalkhof, Janina Müller-Deile, Peter A. van Veelen, Yassene Mohammed, Elke Hammer, Lis Arend, Klaudia Adamowicz, Tanja Laske, Anne Hartebrodt, Tobias Frisch, Chen Meng, Julian Matschinske, Julian Späth, Richard Röttger, Veit Schwämmle, Stefanie M. Hauck, Stefan F. Lichtenthaler, Axel Imhof, Matthias Mann, Christina Ludwig, Bernhard Kuster, Jan Baumbach, Olga Zolotareva
Published in: Nature Computational Science, Issue 5, 2025, ISSN 2662-8457
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S43588-025-00832-7