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)

Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models. - Jordi Llopis-Lorente; Beatriz Trénor; Javier Saiz (CinC, 2021)

Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure. - Ilsbeth Gerarda Maria van Herck; Maria Teresa Mora; Jordi Llopis-Lorente; Henrik Nicolay Topnes Finsberg; Cécile Daversin-Catty; Javier Saiz; Beatriz Trénor; Hermenegild Arevalo; Samuel T. Wall (CinC, 2022)

Considering population variability of electrophysiological models improves the in silico assessment of drug-induced torsadogenic risk. - Jordi Llopis-Lorente; Beatriz Trénor; Javier Saiz (Comput. Methods Programs Biomed., 2022)

A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment. - Safaa Al-Ali; Jordi Llopis-Lorente; Maria Teresa Mora; Maxime Sermesant; Beatriz Trénor; Irene Balelli (CinC, 2023)

Application of machine learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia. - Pablo Rodríguez-Belenguer; Karolina Kopanska; Jordi Llopis-Lorente; Beatriz Trénor; Javier Saiz; Manuel Pastor (Comput. Methods Programs Biomed., 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)

Integration of electrophysiological and mechanical biomarkers in cardiac risk assessment models. - Lucia Priego; Maria Teresa Mora; Jordi Llopis-Lorente; Henrik Nicolay Topnes Finsberg; Cécile Daversin-Catty; Ilsbeth Gerarda Maria van Herck; Samuel T. Wall; Hermenegild Arevalo; Javier Saiz; Beatriz Trénor (Comput. Methods Programs Biomed., 2025)