Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: An in silico Population of Models Approach

Background: Antiarrhythmic drugs are the first-line treatment for atrial fibrillation (AF), but their effect is highly dependent on the characteristics of the patient. Moreover, anatomical variability, and specifically atrial size, have also a strong influence on AF recurrence. Objective: We perform...

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Detalles Bibliográficos
Autores principales: Sanchez de la Nava, Ana Maria, Arenal, Ángel, Fernández-Avilés, Francisco, Atienza, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685526/
https://www.ncbi.nlm.nih.gov/pubmed/34938202
http://dx.doi.org/10.3389/fphys.2021.768468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685526/
https://www.ncbi.nlm.nih.gov/pubmed/34938202
http://dx.doi.org/10.3389/fphys.2021.768468

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