Digital Twinning for Personalized Atrial Fibrillation Care

Project Information

TwinCare-AF

Grant agreement ID: 101148636

DOI

10.3030/101148636

Project closed

EC signature date 4 March 2024

Start date 1 April 2024

End date 31 March 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 183 600,96

Coordinated by

MEDIZINISCHE UNIVERSITAT GRAZ
Austria

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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

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (3)

Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins

Author(s): Elena Zappon, Matthias A.F. Gsell, Karli Gillette, Gernot Plank
Published in: Computers in Biology and Medicine, Issue 189, 2025, ISSN 0010-4825
Publisher: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2025.109930

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

Author(s): Lore Van Santvliet, Elena Zappon, Matthias A.F. Gsell, Franz Thaler, Maarten Blondeel, Steven Dymarkowski, Guido Claessen, Rik Willems, Martin Urschler, Bert Vandenberk, Gernot Plank, Maarten De Vos
Published in: Computers in Biology and Medicine, Issue 192, 2025, ISSN 0010-4825
Publisher: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2025.110230

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Author(s): Elena Zappon, Luca Azzolin, Matthias A.F. Gsell, Franz Thaler, Anton J. Prassl, Robert Arnold, Karli Gillette, Mohammadreza Kariman, Martin Manninger, Daniel Scherr, Aurel Neic, Martin Urschler, Chris
Published in: Medical Image Analysis, Issue 107, 2025, ISSN 1361-8415
Publisher: Elsevier BV
DOI: 10.1016/J.MEDIA.2025.103822

Book chapters (1)

$$\varDelta $$-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks

Author(s): Efraín Magaña, Elena Zappon, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal
Published in: Lecture Notes in Computer Science, Functional Imaging and Modeling of the Heart, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94562-5_4