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

Sanchez-De la Nava, Ana María; Arenal, Angel; Fernández-Avilés, Francisco; Atienza, Felipe (Frontiers Media SA, 2021-12-27)

[EN] 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 ...
Definition of a Sensitivity Profile for Drug Treatment and Identification on Clinical Biomarkers in Atrial Fibrillation

Sánchez de la Nava, Ana María (Universitat Politècnica de València, 2022-07-21)

[ES] La fibrilación auricular (FA) es una de las arritmias más comunes en la práctica clínica cuyos mecanismos, hasta ahora, no han sido comprendidos en su totalidad. El estudio de dichos mecanismos mediante el estudio de ...
Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics

De la Nava, A. S.; Fabregat, M. C.; Rodrigo, M.; Hernández, I.; Liberos, A.; Fernández-Avilés, F.; Guillem Sánchez, María Salud; Atienza, F.; Climent, Andreu M. (IEEE, 2019-09-11)

[EN] Success rate of atrial fibrillation (AF) ablation remains far from satisfactory. In this study, a 6 months AF freedom predictive model based on Fuzzy Entropy of non-invasive body surface potential maps is compared ...

Mostrando ítems 1-3 de 3