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Jordi Llopis-Lorente

Polytechnic University of Valencia

SCHOLARLY PAPERS

2

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87

TOTAL CITATIONS

1

Scholarly Papers (2)

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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)

Abstract:

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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

Abstract:

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