Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response

Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response

Background: Cardiac fibrosis has been identified as a major factor in conduction alterations leading to atrial arrhythmias and modification of drug treatment response.Objective: To perform an in silico proof-of-concept study of Artificial Intelligence (AI) ability to identify susceptibility for cond...

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Bibliographic Details
Main Authors: Ana María Sánchez de la Nava, Lidia Gómez-Cid, Alonso Domínguez-Sobrino, Francisco Fernández-Avilés, Omer Berenfeld, Felipe Atienza
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
cardiac fibrosis
machine learning
population of models
support vector machines
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.1025430/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.1025430/full

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