DYNAMO Framework: Advancing non-invasive, rapid calibration in cardiac digital twin technology
DYNAMO represents a significant advancement in personalized cardiac health management. Using non-invasive ECGI to create CDTs offers an efficient approach to cardiac modeling. Its capability to simulate treatment strategies holds promise for improving clinical outcomes in atrial arrhythmia management. This study lays the basis for the broader application of ECGI in personalized medicine.
Authors
- Jorge Sánchez (ORCID: https://orcid.org/0000-0002-0824-2691)
- Clara Herrero-Martín
- Till Althoff (ORCID: https://orcid.org/0000-0002-3289-2985)
- Ismael Hernández-Romero
- Ivo Roca‐Luque (ORCID: https://orcid.org/0000-0003-0731-3731)
- Rubén Molero (ORCID: https://orcid.org/0000-0002-0424-565X)
- Andreu M. Climent (ORCID: https://orcid.org/0000-0002-7260-8811)
- Jean-Baptiste Guichard (ORCID: https://orcid.org/0000-0002-4696-7722)
- Andreu Porta‐Sánchez (ORCID: https://orcid.org/0000-0003-3510-1488)
- María S. Guillem (ORCID: https://orcid.org/0000-0001-5660-3693)
- Jana Reventós-Presmanes
- Lluís Mont (ORCID: https://orcid.org/0000-0003-2965-5871)
Institutions
- Centro de Investigación Biomédica en Red (ES)
- Centro de Investigación Biomédica en Red de Cáncer (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- Universitat Politècnica de València (ES)
- Universitat de Barcelona (ES)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-09-13
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110974
- Citations
- 1
- Primary Topic
- Cardiac pacing and defibrillation studies
- Type
- article
- Field-Weighted Citation Impact
- 1.39