Hemodynamics affects factor XI/XII anticoagulation efficacy in patient-derived left atrial models
The methodology outlined in this study has the potential to enable personalized assessments of coagulation risk and to tailor anticoagulation therapy by analyzing flow dynamics in patient-derived LA models, representing a significant step towards advancing the application of digital twins in cardiovascular medicine.
Authors
- Pablo Ávila (ORCID: https://orcid.org/0000-0001-9792-8769)
- Manuel Guerrero‐Hurtado (ORCID: https://orcid.org/0009-0004-7664-8484)
- Óscar Flores (ORCID: https://orcid.org/0000-0003-2365-0738)
- Alejandro Gonzalo (ORCID: https://orcid.org/0000-0001-7492-5741)
- Elliot R. McVeigh (ORCID: https://orcid.org/0000-0003-1684-2432)
- Manuel García‐Villalba (ORCID: https://orcid.org/0000-0002-6953-2270)
- Juan C. del Álamo (ORCID: https://orcid.org/0000-0001-5683-0239)
- Eduardo Durán (ORCID: https://orcid.org/0000-0002-4212-3004)
- Pablo Martínez‐Legazpi (ORCID: https://orcid.org/0000-0003-0511-7120)
- Javier Bermejo (ORCID: https://orcid.org/0000-0002-5241-2758)
- Andrew M. Kahn (ORCID: https://orcid.org/0000-0002-6677-4215)
- M. Y. Chen (ORCID: https://orcid.org/0000-0002-4783-9159)
Institutions
- National Institutes of Health (US)
- TU Wien (AT)
- Universidad Nacional de Educación a Distancia (ES)
- University of Washington (US)
- Hospital General Universitario Gregorio Marañón (ES)
- University of California San Diego (US)
- National Heart, Lung, and Blood Institute (US)
- Universidad Carlos III de Madrid (ES)
- Universidad de Málaga (ES)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108761
- Citations
- 4
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 5.55