Heterogeneous Electrical Remodeling of the Failing Heart Modulates the Arrythmogenic Substrate. - Juan F. Gomez; Karen Cardona; Lucía Romero 001; Javier Saiz; Beatriz Trénor (CinC, 2013)

Accurate Characterization of Rotor Activity during Atrial Fibrillation Depends on the Properties of the Multielectrode Grid. - Laura Martinez-Mateu; Lucía Romero 001; Catalina Tobón; Jose Maria Ferrero; José Jalife; Omer Berenfeld; Javier Saiz (CinC, 2014)

Effect of Multi-Electrode Configurations on Accuracy of Rotor Detection in the Atria. - Laura Martinez-Mateu; Lucía Romero 001; Ana Ferrer-Albero; José Jalife; Omer Berenfeld; Javier Saiz (CinC, 2016)

Development and Validation of an In Silico Rabbit Purkinje Cell Action Potential Model: A Step Towards a Drug Safety Testing Tool. - Jordi Cano; Julio Gomis-Tena; Alexander Amberg; Lennart Anger; Véronique Ballet; Jean-Michel Guillon; Manuel Pastor; Ferran Sanz; Lucía Romero 001; Javier Saiz (CinC, 2018)

In Silico QT and APD Prolongation Assay for Early Screening of Drug-Induced Proarrhythmic Risk. - Lucía Romero 001; Jordi Cano; Julio Gomis-Tena; Beatriz Trénor; Ferran Sanz; Manuel Pastor; Javier Saiz (J. Chem. Inf. Model., 2018)

Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study. - Laura Martinez-Mateu; Lucía Romero 001; Ana Ferrer-Albero; Rafael Sebastián; José F. Rodríguez Matas; José Jalife; Omer Berenfeld; Javier Saiz (PLoS Comput. Biol., 2018)

Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities - A computational study. - Laura Martinez-Mateu; Lucía Romero 001; Javier Saiz; Omer Berenfeld (Comput. Biol. Medicine, 2019)

Simulation Study of the Arrhythmogenic Effects of Two Missense Mutations in Human Atrial Fibrillation. - Rebecca Belletti; Laura Martinez-Mateu; Lucía Romero Pérez 001; Javier Saiz (CinC, 2020)

Prediction of IKr Blocker Channel State Preference Based on Voltage Clamp Simulations Using Machine Learning Techniques. - Fernando Escobar; Julio Gomis-Tena; Javier Saiz; Lucía Romero 001 (CinC, 2020)

When Does the IC50 Accurately Assess the Blocking Potency of a Drug? - Julio Gomis-Tena; Brandon M. Brown; Jordi Cano; Beatriz Trénor; Pei-Chi Yang; Javier Saiz; Colleen E. Clancy; Lucía Romero 001 (J. Chem. Inf. Model., 2020)

In Silico Classifiers for the Assessment of Drug Proarrhythmicity. - Jordi Llopis-Lorente; Julio Gomis-Tena; Jordi Cano; Lucía Romero 001; Javier Saiz; Beatriz Trénor (J. Chem. Inf. Model., 2020)

Computational Study of the Effects of AF-related Genetic Mutations in 3D Human Atrial Model. - Rebecca Belletti; Lucía Romero 001; Javier Saiz (CinC, 2022)

Automatic modeling of dynamic drug-hERG channel interactions using three voltage protocols and machine learning techniques: A simulation study. - Fernando Escobar; Julio Gomis-Tena; Javier Saiz; Lucía Romero 001 (Comput. Methods Programs Biomed., 2022)

Computational Study of Drug Effects on Different Atrial Fibrillation Stages. - Violeta Puche-García; Lucía Romero 001; Javier Saiz (CinC, 2023)

Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity. - Jordi Llopis-Lorente; Samuel Baroudi; Kévin Koloskoff; Maria Teresa Mora; Matthieu Basset; Lucía Romero 001; Sylvain Benito; Frédéric Dayan; Javier Saiz; Beatriz Trénor (Comput. Methods Programs Biomed., 2023)

Influence of genetic mutations to atria vulnerability to atrial fibrillation: An in-silico 3D human atria study. - Rebecca Belletti; Joaquín Osca; Lucía Romero Pérez 001; Javier Saiz (Comput. Methods Programs Biomed., 2024)

Experimentally validated modeling of dynamic drug-hERG channel interactions reproducing the binding mechanisms and its importance in action potential duration. - Fernando Escobar; Soren Friis; Nouran Adly; Nina Brinkwirth; Julio Gomis-Tena; Javier Saiz; Dan A. Klaerke; Sonja Stoelzle-Feix; Lucía Romero 001 (Comput. Methods Programs Biomed., 2024)

A simulation study of the impact of drug-IKr binding mechanisms on biomarkers of proarrhythmic risk reveals a crucial role in reverse use-dependence of action potential duration and a marked influence on the vulnerable window. - Julio Gomis-Tena; Fernando Escobar; Lucía Romero 001 (Comput. Methods Programs Biomed., 2025)