Beatriz Trénor
Orcid: 0000-0001-9166-6112
According to our database1,
Beatriz Trénor
authored at least 30 papers
between 2003 and 2023.
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Bibliography
2023
Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity.
Comput. Methods Programs Biomed., December, 2023
Application of machine learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia.
Comput. Methods Programs Biomed., March, 2023
Insights from an electro-mechanical heart failure cell model: Role of SERCA enhancement on arrhythmogenesis and myocyte contraction.
Comput. Methods Programs Biomed., March, 2023
What Type of Drug Would be Antiarrhythmic in Acute Myocardial Ischemia? Insights from Simulations.
Proceedings of the Computing in Cardiology, 2023
A 3D Electromechanical Model of the Human Atria: A Realistic Framework for the Study of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2023
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment.
Proceedings of the Computing in Cardiology, 2023
2022
Considering population variability of electrophysiological models improves the <i>in silico</i> assessment of drug-induced torsadogenic risk.
Comput. Methods Programs Biomed., 2022
Analysis of vulnerability to reentry in acute myocardial ischemia using a realistic human heart model.
Comput. Biol. Medicine, 2022
In-silico Inducibility of Ventricular Tachycardia in Patient-Specific Post-Infarction Ventricular Models.
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure.
Proceedings of the Computing in Cardiology, 2022
2021
Analysis of the response of human iPSC-derived cardiomyocyte tissue to I<sub>CaL</sub> block. A combined in vitro and in silico approach.
Comput. Biol. Medicine, 2021
Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
J. Chem. Inf. Model., 2020
J. Chem. Inf. Model., 2020
Reduced Myofilament Contraction in Human Heart Failure. Insights From Electromechanical Simulations.
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
2019
Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Influence of Fibrotic Tissue Arrangement on Intracardiac Electrograms During Persistent Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019
Blocking L-Type Calcium Current Reduces Vulnerability to Re-Entry in Human iPSC-Derived Cardiomyocytes Tissue.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps With Manifold Harmonics.
IEEE Trans. Biomed. Eng., 2018
In Silico QT and APD Prolongation Assay for Early Screening of Drug-Induced Proarrhythmic Risk.
J. Chem. Inf. Model., 2018
Fibroblasts Induce Calcium Alternans When Coupled to Cardiomyocytes: A Simulation Study.
Proceedings of the Computing in Cardiology, 2018
2017
In Silico Analysis of the Effects of Fibroblasts Coupling to Atrial Myocytes under Conditions of Atrial Fibrillation Remodeling.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Heterogeneous Electrical Remodeling of the Failing Heart Modulates the Arrythmogenic Substrate.
Proceedings of the Computing in Cardiology, 2013
2008
IEEE Trans. Inf. Technol. Biomed., 2008
2003
Electrical Activity and reentry during Acute Regional Myocardial Ischemia: Insights from Simulations.
Int. J. Bifurc. Chaos, 2003