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Javier Saiz

Polytechnic University of Valencia

SCHOLARLY PAPERS

3

DOWNLOADS

110

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Application of Machine Learning to Improve the Efficiency of Electrophysiological Simulations Used for the Prediction of Drug-Induced Ventricular Arrhythmia

Number of pages: 24 Posted: 20 Jul 2022
Pablo Rodríguez-Belenguer, Karolina Kopańska, Jordi Llopis-Lorente, Beatriz Trenor, Javier Saiz and Manuel Pastor
Universitat Pompeu Fabra (UPF), Universitat Pompeu Fabra (UPF), Polytechnic University of Valencia, Polytechnic University of Valencia, Polytechnic University of Valencia and Universitat Pompeu Fabra (UPF)
Downloads 48 (1,086,013)

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In-Silico, machine learning, Simulations, Proarrhythmic-risk, Torsade de Pointes, Cardiac safety

2.

Considering Population Variability of Electrophysiological Models Improves the in Silico Assessment of Drug-Induced Torsadogenic Risk

Number of pages: 29 Posted: 25 Jan 2022
Jordi Llopis-Lorente, Beatriz Trenor and Javier Saiz
Polytechnic University of Valencia, Polytechnic University of Valencia and Polytechnic University of Valencia
Downloads 39 (1,209,354)
Citation 1

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in-silico, proarrhythmic-risk, Torsade de Pointes, cardiac safety, population of models

3.

A biatrial digital twin integrating electrophysiology, mechanics and circulation: from physiology to atrial fibrillation

Number of pages: 45 Posted: 31 Mar 2026
Sergi Picó-Cabiró, Alberto Zingaro, Violeta Puche-García, Dimitrios Lialios, Mariano Vázquez, Blas Echebarria, Maite Izquierdo, Francesc Carreras-Costa, Javier Saiz and Eva Casoni
Barcelona Supercomputing Center, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Barcelona Supercomputing Center, affiliation not provided to SSRN, affiliation not provided to SSRN, Hospital de la Santa Creu i Sant Pau, Polytechnic University of Valencia and affiliation not provided to SSRN
Downloads 23 (1,411,822)

Abstract:

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Atrial electromechanics, cardiac modelling, Atrial Fibrillation