Jordi Llopis-Lorente

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Atrial Fibrillation

Risk Assessment

Prediction Accuracy

Trained Classifiers

Top Venues

Comput. Methods Programs Biomed.

J. Chem. Inf. Model.

Publications

Pablo Rodríguez-Belenguer, Karolina Kopanska, Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz, Manuel Pastor
Application of machine learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia. Comput. Methods Programs Biomed. 230 (2023)
Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment. CinC (2023)
Jordi Llopis-Lorente, Samuel Baroudi, Kévin Koloskoff, Maria Teresa Mora, Matthieu Basset, Lucía Romero, Sylvain Benito, Frédéric Dayan, Javier Saiz, Beatriz Trénor
Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity. Comput. Methods Programs Biomed. 242 (2023)
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
Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure. CinC (2022)
Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz
assessment of drug-induced torsadogenic risk. Comput. Methods Programs Biomed. 221 (2022)
Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz
Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models. CinC (2021)
Jordi Llopis-Lorente, Julio Gomis-Tena, Jordi Cano, Lucía Romero, Javier Saiz, Beatriz Trénor
In Silico Classifiers for the Assessment of Drug Proarrhythmicity. J. Chem. Inf. Model. 60 (10) (2020)