A new page provides links and titles of recent publiations. Link
A new page provides links and titles of recent publiations. Link
Code & Cure – Understanding In Silico Medicine – Play List – https://www.youtube.com/playlist?list=PLo-UtC9aT9rvmgBZAienlaGpBTHrWXfxf
Podcast: Digital Twin Theory – Play list – Youtube – https://www.youtube.com/watch?v=mDx6LzcAc1M&list=PLo-UtC9aT9rv3fyTuXQBqxyTlsF3IcSag
Spoityfy Playlist – https://open.spotify.com/show/5o9a2lx8rHiRO8RDSXBQvK
SimCardioTest Youtube Channel: https://www.youtube.com/@simcardiotest4810
Barbier M. et al. 2021. What computational sciences can do for your heart vol 10
Carbone et al., 2025 “A cloud-based platform for seamless digital testing of cardiac medical devices and drugs” (Vol 24)
Lesage et al., 2023. Digital innovation in cardiovascular medicine: a multi-stakeholder business Vol 16
Setzu et al., 2024 “Building credibility of computational models in cardiovascular medicine through verification and validation” (Vol 19).
Rangarajan, J.R. (2025) “The In Silico Medicine Info Kit – VPHi”. Zenodo. doi:10.5281/zenodo.15527689
Webinar on INFOKIT : The In Silico Medicine Info Kit: stakeholder engagement tools for your research project . https://www.youtube.com/watch?v=8bEsKOSLn6s
Albors C, Mill J, Olivares AL, Iriart X, Cochet H, Camara O (2024) Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus. PLoS Comput Biol 20(9): e1011546. https://doi.org/10.1371/journal.pcbi.1011546
Albors C., Nerea Arrarte Terreros, Marta Saiz-Vivó, Pietro Zappala, Marc M. Terpstra, Andy L. Olivares, R. Nils Planken, WimJan P. van Boven, Antoine H.G. Driessen, Joris R. de Groot, Oscar Camara. (2025). In silico estimation of thrombogenic risk after left atrial appendage excision: Towards digital twins in atrial fibrillation. Computers in Biology and Medicine. Volume 194, 2025, 110483. https://doi.org/10.1016/j.compbiomed.2025.110483
Duchateau, N., & Camara, O. (2023). Machine learning and biophysical models: how to benefit each other? In Reduced Order Models for the Biomechanics of Living Organs (pp. 147-164). Academic Press. https://doi.org/10.1016/B978-0-32-389967-3.00009-3
Escobar-Ropero, F., Friis, Soren; Adly, Nouran; Brinkwirth, Nina; Gomis-Tena Dolz, Julio; Saiz Rodríguez, Francisco Javier … Romero Pérez, Lucia. (2024) Experimentally validated modeling of dynamic drug-hERG channel interactions reproducing the binding mechanisms and its importance in action potential duration. Computer Methods and Programs in Biomedicine, 254. 10.1016/j.cmpb.2024.108293
Gomis-Tena Dolz, Julio; Escobar-Ropero, Fernando; Romero Pérez, Lucia. (2025) 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. Computer Methods and Programs in Biomedicine, 26. 10.1016/j.cmpb.2024.108566
Kjeldsberg HA, Albors C, Mill J, et al. (2024). Impact of left atrial wall motion assumptions in fluid simulations on proposed predictors of thrombus formation. Int J Numer Meth Biomed Engng. 2024: 40(6):e3825. doi:10.1002/cnm.3825
Kjeldsberg H, Schnabel R, Sundnes J, Valen-Sendstad K. (2025). Estimation of inlet flow rate in simulations of left atrial flows: A proposed optimized and reference-based algorithm with application to sinus rhythm and atrial fibrillation. Journal of Biomechanics. 2025. https://doi.org/10.1016/j.jbiomech.2025.112594
Khalili E, Daversin-Catty C, Olivares AL, Mill J, Camara O, Valen-Sendstad K. (2024). On the importance of fundamental computational fluid dynamics toward a robust and reliable model of left atrial flows. Int J Numer Meth Biomed Engng. 2024; 40(4):e3804. doi:10.1002/cnm.3804
Mill J., Harrison, J., Saiz-Vivo, M. et al. (2024). The role of the pulmonary veins on left atrial flow patterns and thrombus formation. Sci Rep 14, 5860 (2024). https://doi.org/10.1038/s41598-024-56658-2
Mora M.T., Ilse van Herck, Cécile Daversin-Catty, Henrik Finsberg, Jordi Llopis-Lorente, Javier Saiz, Hermenegild Arevalo, Samuel Wall, Beatriz Trenor (2025). Insights from Electromechanical Simulations to Assess Omecamtiv Mecarbil Efficacy in Heart Failure. The Journal of Physiology. In press. DOI:10.1113/JP288233
Morales Ferez, X., Elsayed, A., Zhao, D., Loncaric, F., Quill, G., Gilbert, K., … & Bijnens, B. (2023). Left atrial haemodynamic evaluation using 4D flow cardiac magnetic resonance imaging: application to hypertension and hypertrophic cardiomyopathy. European Heart Journal, 44(Supplement_2), ehad655-240. https://doi.org/10.1093/eurheartj/ehad655.240
Pons M.I., Olivares, A.L., Mill, J. et al. (2025). Cardiomyopathy and thrombogenesis in cats through left atrial morphological and fluid dynamics analysis. Sci Rep 15, 12263 (2025). https://doi.org/10.1038/s41598-025-96245-7
Priego L., Mora, María Teresa; Llopis-Lorente, Jordi Henrik Finsberg, Daversin-Catty, Cécile; Ilse van Herck, Trenor, Beatriz. (2025). Integration of electrophysiological and mechanical biomarkers in cardiac risk assessment models. Computer Methods and Programs in Biomedicine, 269. 10.1016/j.cmpb.2025.108896
Roche E, Singh M, Mendez K, Ayers B, Wang S, Takahashi A, Teodorescu D, Mill J, Albors C, Escher A, Fan Y, Ozturk C, Sheridan E, Rutherford E, Camara O, Chakravarty T. (2025). Integrating soft robotics and computational models to study left atrial hemodynamics and device testing in sinus rhythm and atrial fibrillation. Res Sq [Preprint]. 2025 May 8:rs.3.rs-6283242. doi: 10.21203/rs.3.rs-6283242/v1. PMID: 40386419; PMCID: PMC12083680
Saiz-Vivó, M., Mill, J., Iriart, X. et al. (2025). Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors. NPJ Digit. Med. 8, 369 (2025). https://doi.org/10.1038/s41746-025-01676-1
Al-Ali S. et al. (2023). A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment. in Computing in Cardiology conference. Vol 50, p1. ISSB: 2325-887X. 10.22489/cinc.2023.009
Al-Ali S., Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli, Assessing Ionic Current Blockades and Electromechanical Biomarkers’ Interrelations Through a Novel Multi-Channel Causal Variational Autoencoder. (2024) In Computing in Cardiology (CiNC) Vol 51, Page 1 ISSN: 2325-887X DOI: 10.22489/CinC.2024.408
Al-Ali S., Jairo Rodríguez-Padilla, Maxime Sermesant, Irene Balelli, Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery. In Functional Imaging and Modeling of the Heart (FIMH) 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_31
Albors, C., Mill, J., Kjeldsberg, H. A., Viladés Medel, D., Olivares, A. L., Valen-Sendstad, K., & Camara, O. (2022). Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation. In International Workshop on Statistical Atlases and Computational Models of the Heart (pp. 179-189). Cham: Springer Nature Switzerland. Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation | Springer Link
Albors, C., Olivares, A. L., Iriart, X., Cochet, H., Mill, J., & Camara, O. (2023, June). Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment. In International Conference on Functional Imaging and Modeling of the Heart (pp. 485-494). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35302-4_50
Albors C. et al. (2023) Impact of patient-specific occlude configutayion in devicerelated thrombus: an in-silico analysis, CMBBE23 p112 https://www.cmbbe-symposium.com/2023/wp-content/uploads/sites/14/2023/04/CMBBE23_Abstract_book_posters_small.pdf
Albors C., Nerea Arrarte Terreros, Josquin Harrison, Xabier Morales, Marta Saiz Vivó, Nils Planken, Joris R. de Groot, Maxime Sermesant, Oscar Camara. (2024). Left atrial wall dynamics in in-silico fluid simulations of atrial fibrillation patients. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. Link.
Baretta A., Yves Coudière, Oscar Camara, Beatriz Trenor, Hermenegild Arevalo, Irene Balelli, Romano Setzu, Liesbet Geris, Sylvain Benito, Michele Barbier, Maxime Sermesant (2024). Next generation cardiac care: SimCardioTest cloud-based platform. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. Link.
Baseer, I., Valverde, I., Moustafa, A. H., Blat, J., & Camara, O. (2023). Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data. In 2023 IEEE Visualization and Visual Analytics (VIS) (pp. 76-80). IEEE. https://doi.org/10.48550/arXiv.2308.06510
Camara O. et al. (2023). A tortuous pathway to develop, validate, and translate patient-specific computational models of left atrial haemo- dynamics to support occluder implantations. In RICAM 2023-Workshop on Cardiovascular Modeling and Simulation. https://www.ricam.oeaw.ac.at/specsem/specsem2023/workshop2/abstracts/oscar_camara.pdf
Casademunt, P. et al. (2025). Quantitative Comparison of Blood Flow Patterns from in Silico Simulations and 4D Flow Data Before and After Left Atrial Occlusion. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. STACOM 2024. Lecture Notes in Computer Science, vol 15448. Springer, Cham. https://doi.org/10.1007/978-3-031-87756-8_8
Casademunt P., Xabier Morales Ferez, Jordi Mill, Carlos Albors, Íñigo Anduaga, Pedro Cepas, Ada Doltra, Xavier Freixa, Oscar Camara. (2024). Comparison of 4D flow magnetic resonance imaging with blood flow simulations before and after left atrial appendage occlusion. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. Link.
Coudière, Y., Ravon, G., Pannetier, V., & Leguèbe, M. (2023). Numerical simulation of cardiac pacing devices: modeling and validation issues. In RICAM 2023-Workshop on Cardiovascular Modeling and Simulation. https://hal.science/hal-04402791/
Coudière, Y., Leguèbe, M., Balelli, I., Baretta, A., Fauré, G., & Feuerstein, D. (2024). A computer model for in-silico trials on pacemaker energy efficiency. In Computing in Cardiology Conference (CinC). doi:10.22489/CinC.2024.235
Coudière Y. Computer model of cardiac pacing devices. Journées Math Bio Santé 2024, CNRS RT Math Bio Santé et SMAI GT Mabiome, June 2024, Nantes, France. ⟨hal-04905933⟩
Coudière Y. Réduire l’utilisation d’animaux avec des modèles in-silico : exemple de l’étude d’un pacemaker cardiaque. AFSTAL 2024 – 48ème colloque Association Française des Sciences et Techniques de l’Animal de Laboratoire, Association Française des Sciences et Techniques de l’Animal de Laboratoire, Jun 2024, Lille, France. ⟨hal-04905866⟩
Escobar F. , J. Gomis-Tena, J. Saiz, L. Romero. Computational Pipeline for the Automatic Modeling of Dynamic Drug-hERG Channel Interactions: A Simulation Study. Safety Pharmacology Society Annual Meeting 2022. https://doi.org/10.1016/j.cmpb.2022.107148
Escobar F. et al. (2023). Modeling of Dynamic Drug-HERG Channel Interactions Reproducing Preferential State-Dependent Binding and Trapping Properties Using Simple Voltage Clamp Protocols and an Automated High-Throughput System. Gordon Conference. Cardiac arrhythmia mechanisms.
Gasparotti, E. et al. (2025). An Experimental Setup for the Analysis of Patient-Specific Left Atrial Appendage with Particle Image Velocimetry Investigation. In: Chabiniok, R., Zou, Q., Hussain, T., Nguyen, H.H., Zaha, V.G., Gusseva, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_17
Jæger K, Charwat V, Wall S, Healy K, Tveito A. (2024). A model of calcium channel expression for dynamic action potential changes during drug exposure. Cardiac Physiome Workshop. Freiburg, Germany. https://www.uniklinik-freiburg.de/fileadmin/mediapool/09_zentren/herzzentrum/bilder/kardiovaskulaere-medizin/CardiacPhysiome/eBooklet_CardiacPhysiome2024.pdf
Llopis-Lorente J., B. Trenor, J. Saiz. (2022). Benefits of Using Population of Models for the In-Silico Prediction of Drug-Induced Torsadogenic Risk. Safety Pharmacology Society Annual Meeting 2022. Link.
Llopis-Lorente J. et al. (2023). A novel in silico pharmacokinetic/electrophysioogical modeling frork to assess the influence of sex and renal status o drug –induced arrhytmogenicity. Heart Rhythm annual conference. Link
Llopis-Lorente J. et al. (2023). Exploring the Impact of Sex and Renal Function on Drug-Induced Arrhythmias with a Novel In Silico Modelling Approach. Gordon Conference. Cardiac arrhythmia mechanisms.
Llopis-Lorente J. et al. (2023). Cardiac 3D Electromechanical Tissue Simulations for Cardiac Safety Analysis. Journal of Pharmacological and Toxicological Methods 133:107637 DOI:10.1016/j.vascn.2025.107637. Link
Loidi A. et al. (2022). Análisis computacional de las características ideales de fármacos en isquemia miocárdica aguda. CASEIB Conference, Valladolid, Spain. Link
Loidi A. and J. M. Ferrero, (2022). Simulation Study of the Protective Effect of Drugs in Acute Myocardial Ischemia,” 2022 Computing in Cardiology (CinC), Tampere, Finland, 2022, pp. 1-4, doi: 10.22489/CinC.2022.044. Link.
Loidi A. et al. (2022). Using computational modelling to define the ideal characteristics of antiarrhythmic drugs in acute ischemia. in Computing in Cardiology conference. Vol 49 ISSN: 2325-887X DOI: 10.22489/CinC.2022.062 10.22489/CinC.2022.062
Matsukawa Hiroshi, M. Yamaguchi, K. Nakano, M. Tsuboi, C. Nicolò, F. Sips, C. Vaghi, R. Bursi.(2022) Early in silico assessment of drug-induced proarrhythmic risk using Drug Safety Suite. VPH 2022 conference. PowerPoint Presentation (dstc.jp)
Mill J. et al., (2023) Mathematical and Computational Modelling of the Cardiovascular System – MS2-05B – p25 https://congressarchive.cimne.com/cfc2023/assets/cfc2023.pdf
Mora MT et al. (2023). Electromechanical Simulations in Human Heart Failure Myocytes Predict Cell Contraction Improvement and Arrhythmogenesis Decrease by SERCA Enhancement. Gordon Conference. Cardiac arrhythmia mechanisms.
Mill J., Carlos Albors, Pedro Cepas-Guillen, Manal Barrouhou, Íñigo Anduaga, Laura Sanchis, Ana Laffond, Ignacio Cruz-Gonzalez, Xavier Freixa, Oscar Camara. (2024). Examining flow dynamics after left atrial appendage occlusion using CFD simulations: Influence of device implant depth. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. Link.
Morales X., Albors, C., Mill, J., & Camara, O. (2022). Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks. In International Workshop on Statistical Atlases and Computational Models of the Heart (pp. 36-45). Cham: Springer Nature Switzerland. Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks | Springer Link
Moupfouma, T., Peyron, Q., Adagolodjo, Y., Caubet, S., Ollivier, J. F., & Duriez, C. (2025). In silicone and in silico: toward evaluation of pacemaker lead implantation based on soft robotics and computer simulation. In 2025 IEEE 8th International Conference on Soft Robotics (RoboSoft) (pp. 1-8). IEEE. Link
Nebot-Martínez, M. Ll., Villar-Valero, J., Gomez, J.F., Boukens, B., Trenor, B. (2024) The Role of Stellate Ganglion Induced Repolarization Heterogeneities in Post- Myocardial Infarction Arrhythmias: A Computational Approach. 51th Computing in Cardiology Conference (CinC 2024). Karlsruhe, Germany: Computing in Cardiology, DOI: 10.22489/CinC.2024.428
Nuhic, J., Albors, C., Mill, J., Olivares, A.L., Camara, O., Meuschke, M. Visual Analytics for Planning Left Atrial Appendage Occlusion: A Case Study on In-silico Hemodynamic Assessment. EuroVis 2024 Conference, May 2024, Denmark. DOI: 10.2312/evs.20241065.
Pannetier V., Leguèbe, Michael, Coudière, Yves, Walton, R., Dhiver, P., Feuerstein, D., & Amaro, D. (2023). Modeling cardiac stimulation by a pacemaker, with accurate tissue-electrode interface. In O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, & M. Viallon, Functional Imaging and Modeling of the Heart (pp. 194–203). doi: 10.1007/978-3-031-35302-4_20 (https://link.springer.com/chapter/10.1007/978-3-031-35302-4_20)
Pannetier, V., Leguèbe, M., Coudière, Y., Ravon, G., Feuerstein, D., Fauré, G., Walton, R. (2024). Sensitivity analysis in a rescaled 0D pacemaker-bimembrane model. In Computing in Cardiology Conference (CinC). doi:10.22489/CinC.2024.317
Pannetier V., Yves Coudière, Michael Leguèbe. (2024). Bidomain Model Coupled To A Realistic Multi-Electrode Device In Cardiac Electrophysiology. CANUM 2024 – Congrès National d’Analyse Numérique, May 2024, Le Bois-Plage-en-Ré, Île de Ré, France. ⟨hal-04610592⟩
Pannetier V., Michael Leguèbe, Yves Coudière, Guilhem Fauré, Feuerstein Delphine. (2024). Determination of stimulation threshold in a 3D model of a pacemaker. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. ⟨hal-05150136⟩
Pannetier, V., Leguèbe, M., Coudière, Y., Walton, R., Fauré, G., Setzu, R. (2025). Towards Validation of Two Computational Models of Artificial Pacemakers. In: Chabiniok, R., Zou, Q., Hussain, T., Nguyen, H.H., Zaha, V.G., Gusseva, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_12
Pérez-Herrero, S.,Trenor, B., Saiz, J. (2024). Estudio in silico de la influencia de la conductividad de los distintos órganos del torso sobre las derivaciones electrocardiográficas. XLII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2024). (541 – 544). Sevilla, España. https://seib.org.es/caseib/historico/
Priego-Saiz, L., Llopis-Lorente, J., Mora, M.T., Daversin-Catty, C., van Herck, I., Finsberg, H., Arevalo, H., Saiz, J., Trenor, B. (2024). Análisis de la influencia electromecánica en la predicción del riesgo arritmogénico inducido por fármacos. XLII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2024). (549 – 552). Sevilla, España. https://seib.org.es/caseib/historico/
Puche-García V. et al. (2022). Simulación de los efectos de fármacos antiarrítmicos en la electrofisiología auricular. CASEIB Conference, Valladolid, Spain. http://hdl.handle.net/10251/191680
Puche-García V. et al. (2023). Computational Study of Drug Effects on Different Atrial Fibrillation Stages. in Computing in Cardiology 2023; Vol 50. SSN: 2325-887X DOI:10.22489/CinC.2023.355. 10.22489/CinC.2023.355
Ruiz C.R. et al. (2022). In Silico Evaluation of New Approaches in Cardiac Resynchronization Therapy. in Computing in Cardiology (CinC), Tampere, Finland, 2022, pp. 1-4, doi: 10.22489/CinC.2022.102
Ruiz C.R. et al. (2022). Evaluación mediante simulación de nuevos enfoques en la terapia de resincronización cardiaca. CASEIB Conference, Valladolid, Spain. Link
Saiz-Vivó, M. et al. (2022). Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers. STACOM 2022. Lecture Notes in Computer Science, vol 13593. Springer, Cham. https://doi.org/10.1007/978-3-031-23443-9_19
Saiz-Vivó, M. et al. (2025). Automatic Identification of Optimal Transseptal Puncture Localization and Device Configuration with Patient-Specific Haemodynamic Modelling in Patients Undergoing Left Atrial Appendage Occlusion. In: Chabiniok, R., Zou, Q., Hussain, T., Nguyen, H.H., Zaha, V.G., Gusseva, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15673. Springer, Cham. https://doi.org/10.1007/978-3-031-94562-5_30
Saiz Vivó M., Carlos Albors Lucas, Angel Herrero Díaz, Jordi Mill Tena, Andy Luis Olivares, Benoit Legghe, Xavier Iriart, Gemma Piella, Maxime Sermesant, Oscar Camara. A computational pipeline for fast surrogates of left atrial appendage occlusion fluid simulations. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. Link.
Segarra-Queralt, M. et al. (2025). Multi-therapeutic Modelling for Stroke Prevention in Atrial Fibrillation: Impact of the Pulmonary Ridge. In: Chabiniok, R., Zou, Q., Hussain, T., Nguyen, H.H., Zaha, V.G., Gusseva, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_18
Segarra-Queralt M., Marina Ribera, Andy L. Olivares, Oscar Camara. (2024). Coagulation cascade systems modeling for oral anticoagulant monitorization in atrial fibrillation patients. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. https://www.vph-institute.org/upload/vph2024-book-of-abstracts_66f698d1d9bea.pdf
Segarra-Queralt, M. et al. (2025). Multi-therapeutic Modelling for Stroke Prevention in Atrial Fibrillation: Impact of the Pulmonary Ridge. In: Chabiniok, R., Zou, Q., Hussain, T., Nguyen, H.H., Zaha, V.G., Gusseva, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_18
Segarra-Queralt M., Marina Ribera, Andy L. Olivares, Oscar Camara. (2024). Coagulation cascade systems modeling for oral anticoagulant monitorization in atrial fibrillation patients. VPH Conference 2024 Data-Driven Simulation Technologies for Clinical Decision Making, VPH Institute, Sep 2024, Stuttgart, Germany. https://www.vph-institute.org/upload/vph2024-book-of-abstracts_66f698d1d9bea.pdf
Vaghi C. , J. Llopis-Lorente, B. Trenor, J. Saiz, T. Yoshinaga, R. Bursi. (2022). Early drug proarrhythmic risk assessment using QT/TdP Risk Screen: a use case. Safety Pharmacology Society Annual Meeting 2022. Link
Villar-Valero, J., Rodríguez Padilla, J.J., Buntheng, L., Gómez, J.F., Pop, M., Trenor, B., Sermesant, M. (2024). Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data. 15th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2024). (64 – 74). Marrakesh, Morocco: Springer Cham.
Villar-Valero, J., Gómez García, J.F., Soto-Iglesias, D., Penela, D., Berruezo, A., Trenor, B. (2024). Role of Conduction Channels in Ventricular Arrhythmias: Insights from In Silico Simulation and Clinical Data. 8th Virtual Physiological Human Conference (VPH 2024). Stuttgart, Germany. https://www.vph-institute.org/upload/vph2024-book-of-abstracts_66f698d1d9bea.pdf
Yamamoto K, Valen-Sendstad K, Dokken J, Bruneau D, Steinem D. (2024). Sensitivity Analysis of Wall Vibrations Induced by Turbulent-Like Flow in Intracranial Aneurysms. 8th International Conference on Computational & Mathematical Biomedical Engineering. Arlington, VA, USA. https://compbiomed.net/wp-content/uploads/2025/02/CMBE24_Proceedings_Volume_1.pdf