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

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

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Sanchez-De La Nava, AM.; Arenal, A.; Fernández-Avilés, F.; Atienza, F. (2021). Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: An in silico Population of Models Approach. Frontiers in Physiology. https://doi.org/10.3389/fphys.2021.768468

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/204318

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Title: Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: An in silico Population of Models Approach
Author: Sanchez-De la Nava, Ana María Arenal, Angel Fernández-Avilés, Francisco Atienza, Felipe
Issued date:
Abstract:
[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 ...[+]
Subjects: Atrial fibrillation , Computational models , Decision tree , Drug safety , Safety pharmacology
Copyrigths: Reconocimiento (by)
Source:
Frontiers in Physiology. (issn: 1664-042X )
DOI: 10.3389/fphys.2021.768468
Publisher:
Frontiers Media SA
Publisher version: https://doi.org/10.3389/fphys.2021.768468
Project ID:
info:eu-repo/grantAgreement/EC/H2020/874827/EU/Computational biomechanics and bioengineering 3D printing to develop a personalized regenerative biological ventricular assist device to provide lasting functional support to damaged hearts/
...[+]
info:eu-repo/grantAgreement/EC/H2020/874827/EU/Computational biomechanics and bioengineering 3D printing to develop a personalized regenerative biological ventricular assist device to provide lasting functional support to damaged hearts/
info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI17%2F01059/ES/ESTRATIFICACION Y TRATAMIENTO DE LA FIBRILACION AURICULAR BASADA EN LOS MECANISMOS DE PERPETUACION DE LA ARRITMIA (STRATIFY-AF)/
info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI18%2F01895/ES/ABLACION RADIAL PARA CONTROL DE LA FIBRILACION AURICULAR PERSISTENTE (ARTIST TRIAL)/
info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI20%2F01618/ES/CARACTERIZACION DEL SUSTRATO ELECTROFISIOLOGICO EN PACIENTES CON FIBRILACION AURICULAR PERSISTENTE Y PAROXISTICA. ESTUDIO: PAPER-AF/
info:eu-repo/grantAgreement/MINECO//PI16%2F01123/ES/Regeneración Cardiaca de Infarto Crónico Porcino mediante Inyecciónes Intramiocardiacas de Células Progenitoras Embebidas en Hidrogeles de Matriz Decelularizada/
info:eu-repo/grantAgreement/FEDER//EITHealth 19600 AFFINE/
info:eu-repo/grantAgreement/ISCIII//DTS16%2F0160 /
info:eu-repo/grantAgreement/ISCIII//PI20%2F01618/
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Thanks:
This work was supported in part by the Instituto de Salud Carlos III (PI16/01123, DTS16/0160, PI17/01059, PI20/01618, and PI18.01895), Spanish Ministry of Science and Innovation (CIBERCV), and European Union s H2020 Program ...[+]
Type: Artículo

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