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Revistas

  • Llopis-Lorente, J., Gomis-Tena, J., Cano, J., Romero, L., Saiz, J., Trenor, B. (2020). In silico classifiers for the assessment of drug proarrhythmicity. Journal of Chemical Information and Modeling, 60(10), 5172-5187. https://doi.org/10.1021/acs.jcim.0c00201
  • Cano, J., Zorio, E., Mazzanti, A., Arnau, M. Á., Trenor, B., Priori, S. G., Saiz, J., Romero, L. (2020). Ranolazine as an alternative therapy to flecainide for SCN5A V411M long QT syndrome type 3 patients. Frontiers in Pharmacology, 11, 580481. https://doi.org/10.3389/fphar.2020.580481
  • Ugarte, J. P., Tobón, C., Saiz, J., Lopes, A. M., Machado, J. A. T. (2021). Spontaneous activation under atrial fibrosis: A model using complex order derivatives. Communications in Nonlinear Science and Numerical Simulation, 95, 105618. https://doi.org/10.1016/j.cnsns.2020.105618
  • Chowdhury, M. K. H., Martinez-Mateu, L., Do, J., Aromolaran, K. A., Saiz, J., Aromolaran, A. S. (2021). Macrophage-dependent interleukin-6-production and inhibition of IK contributes to acquired QT prolongation in lipotoxic guinea pig heart. International Journal of Molecular Sciences, 22(20), 11249. https://doi.org/10.3390/ijms222011249
  • Lahuerta, A. A., Roberto, C., Saiz, F. J., Cano, Ó., Martínez-Mateu, L., Alonso, P., Saurí, A., Quesada, A., Osca, J. (2022). Atrial low voltage areas: A comparison between atrial fibrillation and sinus rhythm. Cardiology Journal, 29(2), 252-262. https://doi.org/10.5603/CJ.a2021.0125
  • Belletti, R., Romero, L., Martinez-Mateu, L., Cherry, E. M., Fenton, F. H., Saiz, J. (2021). Arrhythmogenic effects of genetic mutations affecting potassium channels in human atrial fibrillation: a simulation study. Frontiers in physiology, 12, 681943. https://doi.org/10.3389/fphys.2021.681943
  • Palacio, L. C., Pachajoa, D. C., Durango-Giraldo, G., Zapata-Hernandez, C., Ugarte, J. P., Saiz, J., Buitrago-Sierra, R., Tobón, C. (2021). Atrial proarrhythmic effect of lead as one of the PM10 metal components of air pollution. An in-silico study. Plos one, 16(10), e0258313. https://doi.org/10.1371/journal.pone.0258313
  • Riccio, J., Alcaine, A., Rocher, S., Martinez-Mateu, L., Laranjo, S., Saiz, J., Laguna, P., Martínez, J. P. (2021). Characterization of atrial propagation patterns and fibrotic substrate with a modified omnipolar electrogram strategy in multi-electrode arrays. Frontiers in Physiology, 12, 674223. https://doi.org/10.3389/fphys.2021.674223
  • Van Nieuwenhuyse, E., Martinez-Mateu, L., Saiz, J., Panfilov, A. V., Vandersickel, N. (2021). Directed graph mapping exceeds phase mapping in discriminating true and false rotors detected with a basket catheter in a complex in-silico excitation pattern. Computers in Biology and Medicine, 133, 104381. https://doi.org/10.1016/j.compbiomed.2021.104381
  • Herweg, B., Nellaiyappan, M., Welter-Frost, A. M., Tran, T., Mabry, G., Weston, K., Tobón, C., Saiz, J., Noujaim, S., Weston, M. W. (2021). Immuno-electrophysiological mechanisms of functional electrical connections: Between recipient and donor heart in patients With Orthotopic heart transplantation presenting With atrial arrhythmias. Circulation: Arrhythmia and Electrophysiology, 14(4), e008751. https://doi.org/10.1161/CIRCEP.120.008751
  • Riccio, J., Alcaine, A., Rocher, S., Martinez-Mateu, L., Saiz, J., Invers-Rubio, E., Guillem, M.S., Martínez, J.P., Laguna, P. (2022). Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays. Medical & Biological Engineering & Computing, 60(11), 3091-3112. https://doi.org/10.1007/s11517-022-02648-3
  • Llopis-Lorente, J., Trenor, B., Saiz, J. (2022). Considering population variability of electrophysiological models improves the in silico assessment of drug-induced torsadogenic risk. Computer Methods and Programs in Biomedicine, 221, 106934. https://doi.org/10.1007/s11517-022-02648-3
  • Escobar, F., Gomis-Tena, J., Saiz, J., Romero, L. (2022). Automatic modeling of dynamic drug-hERG channel interactions using three voltage protocols and machine learning techniques: A simulation study. Computer Methods and Programs in Biomedicine, 226, 107148. https://doi.org/10.1016/j.cmpb.2022.107148

 

Conferencias

  • Belletti, R., Mateu, L. M., Pèrez, L. R., Saiz, J. (2020, September). Simulation Study of the Arrhythmogenic Effects of Two Missense Mutations in Human Atrial Fibrillation. In 2020 Computing in Cardiology (pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2020.420
  • Palacio, L. C., Ugarte, J. P., Saiz, J., Tobón, C. (2020, October). Genesis of atrial fibrillation under different diffuse fibrosis density related with atmospheric pollution. In-silico study. In Workshop on Engineering Applications (pp. 291-301). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-61834-6_25
  • Belletti, R., Martínez Mateu, L., Romero Pérez, L., Cherry, E., Fenton, F. H., Saiz, J. (2020, November). Arrhythmogenicity quantification of two genetic defects affecting IKr channel in AF patients. In CASEIB 2020. Libro de Actas. XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (pp. 141-144). Sociedad Española de Ingeniería Biomédica.
  • Van Nieuwenhuyse, E., Martinez-Mateu, L., Saiz, J., Panfilov, A. V., Vandersickel, N. (2021). Directed graph mapping is able to distinguish between the true and false rotors in a complex in-silico excitation pattern. EP Europace, 23(Supplement_3), euab116-544. https://doi.org/10.1093/europace/euab116.544
  • Carpio, E. F., Gomez, J. F., Rodríguez-Matas, J. F., Trenor, B., Ferrrero, J. M. (2020, September). Computational analysis of vulnerability to reentry in acute myocardial ischemia. In 2020 Computing in Cardiology (pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2020.241
  • Mora, M. T., Gutiérrez, S., Dasí, A., Gomez, J. F., Trenor, B. (2020, September). Reduced Myofilament Contraction in Human Heart Failure. Insights From Electromechanical Simulations. In 2020 Computing in Cardiology (pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2020.056
  • Lorente, J. L., Dolz, J. G. T., Pérez, L. R., Rodríguez, F. J. S., Gomis, B. T. (2021). In silico study of drug effects on human non-failing and failing cardiomyocytes. Journal of Pharmacological and Toxicological Methods, 111, 107045.
  • Escobar, F., Gomis-Tena, J., Saiz, J., Romero, L. (2020, September). Prediction of I Kr Blocker Channel State Preference Based on Voltage Clamp Simulations Using Machine Learning Techniques. In 2020 Computing in Cardiology (pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2020.274
  • Escobar-Ropero, F., Gomis-Tena Dolz, J., Saiz Rodríguez, F. J., Romero Pérez, L. (2020, November). Clasificación de Bloqueadores de Ikr Basada en Protocolos de Voltage Clamp y Técnicas de Machine Learning. In XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2020). Libro de Actas (pp. 137-140). Sociedad Española de Ingeniería Biomédica.
  • Belletti, R., Romero, L., Saiz, J. (2021,September). Arrhythmogenicity of genetic mutations on a 3D human atrial model.  Atrial Signals Conference. Karlsruher (Germany). https://doi.org/10.5445/IR/1000138448
  • Escobar, F., Gomis-Tena, J., Saiz, J., Romero, L. (2021). Use of Three Voltage Clamp Protocols in the Detection of High Risk Torsadogenic Compounds: a Simulation Study. Safety Pharmacology Society Annual Meeting.
  • Kopanska, K., Gómez-Tamayo, J. C., Llopis-Lorente, J., Trenor-Gomis, B. A., Sáiz, J., Pastor, M. (2021). Estimation of uncertainty in multi-level in silico models predicting biomarkers of drug-induced proarrhythmic risk. Toxicology Letters, 350, S64-S65.
  • Llopis-Lorente, J., Saiz, J., Trenor, B. (2022, September). Effect of incorporating inter-individual variability in the in silico prediction of drug-induced arrhythmogenic risk. Safety Pharmacology Society Annual Meeting.
  • Llopis-Lorente, J., Trénor, B., & Saiz, J. (2021, September). Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models. In 2021 Computing in Cardiology (CinC) (Vol. 48, pp. 1-4). IEEE. https://doi.org/10.23919/CinC53138.2021.9662679
  • Belletti, R., Romero, L., & Saiz, J. (2022, September). Computational Study of the Effects of AF-related Genetic Mutations in 3D Human Atrial Model. In 2022 Computing in Cardiology (CinC) (Vol. 498, pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2022.070
  • Palacio LC, Tobón C, Saiz J (2022). Efecto del plomo en la generación de arritmias. Estudio de simulación en un modelo 3D de aurícula humana. XL Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2022): 498-501.
  • Martinez-Mateu, L., Saiz, J., & Berenfeld, O. (2022, September). Rotors Drift Toward and Stabilize in Low Power Regions in Heterogeneous Models of Atrial Fibrillation. In 2022 Computing in Cardiology (CinC) (Vol. 498, pp. 1-4). IEEE. https://doi.org/10.22489/CinC.2022.366
  • Llopis-Lorente, J., Saiz, J., Trenor, B. (2022). Benefits of Using Population of Models for the In Silico Prediction of Drug-Induced Torsadogenic Risk. Safety Pharmacology Society Annual Meeting (Canada).
  • Vaghi, C., Llopis-Lorente, J., Trenor, B., Saiz, J., Yoshinaga, T., Bursi, R. (2022). Early drug proarrhythmic risk assessment using QT/TdP Risk Screen: a use case. Safety Pharmacology Society Annual Meeting (Canada).
  • Escobar, F., Saiz, J., Romero, L. (2022). Computational pipeline for the automatic modeling of dynamic drug-hERG channel interactions: a simulation study. Safety Pharmacology Society Annual Meeting (Canada).
  • Van Herck, I., Llopis-Lorente, J., Finsberg, H., Daversin-Catty, C., Mora, M., Saiz, J., Trenor, B., Arevalo, H., Wall, S. (2022). Computational 3D cardiac electromechanical models for functional and pharmacological analysis. 9th International Workshop on Cardiac Mechano-Electric Coupling and Arrhythmias (MEC 2022).
  • Puche-García, V., Romero, L., Saiz, J. (2022). Simulación de los efectos de fármacos antiarrítmicos en la electrofisiología auricular. XL Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2022): 440-443.

 

Libro completo

  • Ugarte, J. P., Tobón, C., Palacio, L. C., Saiz, J. (2020). Simulación 3D de la fibrosis en fibrilación auricular. Ed. Universidad de Medellín.

 

Patentes

  • Romero, L., Escobar, F., Gomis-Tena, J., Saiz, J. (pendiente). Procedimiento y sistema de caracterización de interacciones dinámicas de fármacos con los canales de IKR O HERG. Universitat Politècnica de València. Nº de solicitud: ES202230300A. Fecha de registro: 01/04/2022.