{"id":1922,"date":"2021-04-23T16:44:00","date_gmt":"2021-04-23T15:44:00","guid":{"rendered":"https:\/\/www.simcardiotest.eu\/wordpress\/?page_id=1922"},"modified":"2025-09-25T13:41:26","modified_gmt":"2025-09-25T12:41:26","slug":"peer-reviewed-publications","status":"publish","type":"page","link":"https:\/\/www.simcardiotest.eu\/wordpress\/activities-resources\/peer-reviewed-publications\/","title":{"rendered":"Dissemination materials & Peer-reviewed Publications"},"content":{"rendered":"\t\t
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DISSEMINATION MATERIALS<\/h3>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Code & Cure –<\/strong> Understanding In Silico Medicine – Play List – https:\/\/www.youtube.com\/playlist?list=PLo-UtC9aT9rvmgBZAienlaGpBTHrWXfxf<\/a><\/u><\/p>

Podcast: Digital Twin Theory<\/strong> – Play list – Youtube – https:\/\/www.youtube.com\/watch?v=mDx6LzcAc1M&list=PLo-UtC9aT9rv3fyTuXQBqxyTlsF3IcSag<\/a><\/u>
Spoityfy Playlist – https:\/\/open.spotify.com\/show\/5o9a2lx8rHiRO8RDSXBQvK<\/a><\/u><\/p>

SimCardioTest Youtube Channel:<\/strong> https:\/\/www.youtube.com\/@simcardiotest4810<\/a><\/p>

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Barbier M. et al.<\/strong> 2021. What computational sciences can do for your heart<\/i> vol 10<\/a><\/p>

Carbone et al.,<\/strong> 2025 \u201cA cloud-based platform for seamless digital testing of cardiac medical devices and drugs\u201d (<\/u>Vol 24<\/a><\/u>)<\/u><\/p>

Lesage et al.,<\/strong> 2023. Digital innovation in cardiovascular medicine: a multi-stakeholder business<\/i> Vol 16<\/a><\/p>

Setzu et al.,<\/strong> 2024 \u201cBuilding credibility of computational models in cardiovascular medicine through verification and validation\u201d (<\/u>Vol 19<\/a><\/u>)<\/u>.<\/p>

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THE IN SILICO MEDICINE INFO KIT<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Rangarajan, J.R.<\/strong>\u00a0(2025)\u00a0\u201cThe In Silico Medicine Info Kit – VPHi\u201d<\/strong>. Zenodo.\u00a0doi:10.5281\/zenodo.15527689<\/a><\/p>

Webinar on INFOKIT<\/strong> : The In Silico Medicine Info Kit: stakeholder engagement tools for your research project . https:\/\/www.youtube.com\/watch?v=8bEsKOSLn6s<\/a><\/u><\/p>

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PEER-REVIEWED PUBLICATIONS<\/h3>

Albors C,<\/strong> 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<\/a><\/u><\/p>

Albors C.,<\/span>\u00a0Nerea Arrarte Terreros, Marta Saiz-Viv\u00f3, 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.\u00a0https:\/\/doi.org\/10.1016\/j.compbiomed.2025.110483<\/a><\/u><\/p>

Duchateau, N., <\/span><\/strong>& Camara, O. (2023). Machine learning and biophysical<\/span> models: how to\u00a0benefit each other? In\u00a0Reduced Order Models for the Biomechanics of Living Organs\u00a0(pp. 147-164). <\/span>Academic Press<\/span>.\u00a0<\/span>https:\/\/doi.org\/10.1016\/B978-0-32-389967-3.00009-3<\/a><\/span><\/p>

Escobar-Ropero, F.,<\/strong>\u00a0Friis, Soren; Adly, Nouran; Brinkwirth, Nina; Gomis-Tena Dolz, Julio; Saiz Rodr\u00edguez, Francisco Javier … Romero P\u00e9rez, Lucia. (2024)\u00a0Experimentally 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.\u00a010.1016\/j.cmpb.2024.108293<\/a><\/p>

Gomis-Tena Dolz,<\/strong> Julio; Escobar-Ropero, Fernando; Romero P\u00e9rez, Lucia. (2025)\u00a0A 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.\u00a010.1016\/j.cmpb.2024.108566<\/a><\/p>

Kjeldsberg\u00a0HA,<\/strong>\u00a0Albors\u00a0C,\u00a0Mill\u00a0J, et al. (2024). Impact of left atrial wall motion assumptions in fluid simulations on proposed predictors of thrombus formation.\u00a0Int J Numer Meth Biomed Engng.\u00a0 2024:\u00a0 40(6):e3825. doi:10.1002\/cnm.3825<\/a>\u00a0<\/p>

Kjeldsberg H,<\/strong> 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<\/a><\/p>

Khalili\u00a0E,<\/strong>\u00a0Daversin-Catty\u00a0C,\u00a0Olivares\u00a0AL,\u00a0Mill\u00a0J,\u00a0Camara\u00a0O,\u00a0Valen-Sendstad\u00a0K. (2024). On the importance of fundamental computational fluid dynamics toward a robust and reliable model of left atrial flows.\u00a0Int J Numer Meth Biomed Engng.\u00a02024;\u00a040(4):e3804. doi:10.1002\/cnm.3804<\/a><\/p>

Mill J.,<\/strong> Harrison, J., Saiz-Vivo, M.\u00a0et al. (2024). The role of the pulmonary veins on left atrial flow patterns and thrombus formation.\u00a0Sci Rep\u00a014, 5860 (2024). https:\/\/doi.org\/10.1038\/s41598-024-56658-2<\/a><\/p>

Mora M.T.,<\/strong> Ilse van Herck, C\u00e9cile 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<\/a><\/p>

Morales Ferez, X., <\/strong>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.\u00a0European Heart Journal,\u00a044(Supplement_2), ehad655-240. https:\/\/doi.org\/10.1093\/eurheartj\/ehad655.240<\/a><\/p>

Pons M.I.,<\/strong> 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<\/a><\/p><\/div>

Priego L.,<\/strong> Mora, Mar\u00eda Teresa; Llopis-Lorente, Jordi Henrik Finsberg, Daversin-Catty, C\u00e9cile; Ilse van Herck, Trenor, Beatriz. (2025).\u00a0 Integration of electrophysiological and mechanical biomarkers in cardiac risk assessment models. Computer Methods and Programs in Biomedicine, 269. 10.1016\/j.cmpb.2025.108896<\/a><\/u><\/p>

Roche E,<\/strong> 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<\/a>. PMID: 40386419; PMCID: PMC12083680<\/p><\/div>

Saiz-Viv\u00f3, M.,<\/strong> 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<\/a><\/u><\/p><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Conference abstracts & ARTICLES<\/b><\/h3>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Al-Ali S. et al. (2023). <\/strong>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<\/a><\/strong><\/p>\n

Al-Ali S.<\/strong>, Maria Teresa Mora, Maxime Sermesant, Beatriz Tre\u0301nor, Irene Balelli, Assessing Ionic Current Blockades and Electromechanical Biomarkers\u2019 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<\/a><\/p>\n

Al-Ali S.,<\/strong> Jairo Rodri\u0301guez-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<\/a><\/p>\n

Albors, C., <\/span>Mill, J., Kjeldsberg, H. A., Vilad\u00e9s Medel, D., Olivares, A. L., Valen-Sendstad, K., & Camara, O.<\/span> (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<\/a><\/p>\n

Albors, C., Olivares, A. L., Iriart, X., Cochet, H., Mill, J., & Camara, O.<\/strong> (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<\/a><\/p>\n

Albors C.<\/span> 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<\/a>  <\/p>\n

Albors C.<\/strong>, Nerea Arrarte Terreros, Josquin Harrison, Xabier Morales, Marta Saiz Viv\u00f3, 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.<\/a><\/p>\n

Baretta A.<\/strong>, Yves Coudi\u00e8re, 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.<\/a><\/p>\n

Baseer, I., <\/strong>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<\/a><\/p>\n

Camara O.<\/span> 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 <\/a><\/p>\n

Casademunt, P.<\/strong> 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<\/a><\/p>\n

Casademunt P.<\/strong>, Xabier Morales Ferez, Jordi Mill, Carlos Albors, \u00cd\u00f1igo 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.<\/a><\/p>\n

Coudi\u00e8re, Y., Ravon, G., Pannetier, V., & Legu\u00e8be, M.<\/strong> (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\/<\/a> <\/p>\n

Coudi\u00e8re, Y.,<\/strong> Legu\u00e8be, M., Balelli, I., Baretta, A., Faur\u00e9, 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<\/a><\/u><\/p>\n

Coudi\u00e8re Y.<\/strong> Computer model of cardiac pacing devices. Journ\u00e9es Math Bio Sant\u00e9 2024, CNRS RT Math Bio Sant\u00e9 et SMAI GT Mabiome, June 2024, Nantes, France. \u27e8hal-04905933\u27e9<\/a><\/u><\/p>\n

Coudi\u00e8re Y.<\/strong> R\u00e9duire l\u2019utilisation d\u2019animaux avec des mod\u00e8les in-silico : exemple de l\u2019\u00e9tude d\u2019un pacemaker cardiaque. AFSTAL 2024 – 48\u00e8me colloque Association Fran\u00e7aise des Sciences et Techniques de l’Animal de Laboratoire, Association Fran\u00e7aise des Sciences et Techniques de l’Animal de Laboratoire, Jun 2024, Lille, France. \u27e8hal-04905866\u27e9<\/a><\/u><\/p>\n

Escobar  F. , J. Gomis-Tena, J. Saiz, L. Romero.<\/strong> 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<\/a><\/p>\n

Escobar F.<\/strong> 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.<\/p>\n

Gasparotti, E.<\/span> 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<\/a><\/p>\n

J\u00e6ger K,<\/span> 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<\/a><\/u><\/p>\n

Llopis-Lorente J., B. Trenor, J. Saiz.<\/strong> (2022). Benefits of Using Population of Models for the In-Silico Prediction of Drug-Induced Torsadogenic Risk. Safety Pharmacology Society Annual Meeting 2022. Link<\/a>.<\/p>\n

Llopis-Lorente J.<\/span> et al. (2023). A novel in silico pharmacokinetic\/electrophysioogical modeling frork to assess the influence of sex and renal status o drug \u2013induced arrhytmogenicity. Heart Rhythm annual conference. Link<\/a><\/p>\n

Llopis-Lorente J.<\/span> 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.<\/p>\n

Llopis-Lorente J.<\/span> et al. (2023). Cardiac 3D Electromechanical Tissue Simulations for Cardiac Safety Analysis. Journal of Pharmacological and Toxicological  Methods   133:107637  <\/span>DOI:10.1016\/j.vascn.2025.107637<\/a>.  Link<\/a><\/p>\n

Loidi A.<\/span> et al. (2022). An\u00e1lisis computacional de las caracter\u00edsticas ideales de f\u00e1rmacos en isquemia mioc\u00e1rdica aguda. CASEIB Conference, Valladolid, Spain. Link<\/a><\/p>\n

Loidi A. <\/b>and J. M. Ferrero, (2022). Simulation Study of the Protective Effect of Drugs in Acute Myocardial Ischemia,” <\/span>2022 Computing in Cardiology (CinC)<\/em>, Tampere, Finland, 2022, pp. 1-4, doi: 10.22489\/CinC.2022.044.<\/span> Link.<\/a><\/p>\n

Loidi A.<\/span> 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<\/a><\/p>\n

Matsukawa Hiroshi, <\/strong>M. Yamaguchi, K. Nakano, M. Tsuboi, C. Nicol\u00f2, 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)<\/a><\/p>\n

Mill J.<\/span> et al., (2023) Mathematical and Computational Modelling of the Cardiovascular System – MS2-05B – p25  https:\/\/congressarchive.cimne.com\/cfc2023\/assets\/cfc2023.pdf<\/a><\/p>\n

Mora MT<\/strong> 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.<\/p>\n

Mill J.,<\/span> Carlos Albors, Pedro Cepas-Guillen, Manal Barrouhou, \u00cd\u00f1igo 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.<\/a><\/p>\n

Morales X., Albors, C., Mill, J., & Camara, O.<\/span> (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<\/em> (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<\/a><\/p>\n

Moupfouma, T.,<\/strong> 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<\/a><\/u><\/p>\n

Nebot-Mart\u00ednez, M.<\/strong> 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<\/a><\/p>\n

Nuhic, J.,<\/strong> 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.<\/a><\/p>\n

Pannetier V., <\/span>Legu\u00e8be, Michael, Coudi\u00e8re, 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\u2013203). doi: 10.1007\/978-3-031-35302-4_20 (https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-35302-4_20)<\/a><\/p>\n

Pannetier, V.,<\/strong> Legu\u00e8be, M., Coudi\u00e8re, Y., Ravon, G., Feuerstein, D., Faur\u00e9, 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<\/a><\/u><\/p>\n

Pannetier V.,<\/strong> Yves Coudi\u00e8re, Michael Legu\u00e8be. (2024). Bidomain Model Coupled To A Realistic Multi-Electrode Device In Cardiac Electrophysiology. CANUM 2024 – Congr\u00e8s National d’Analyse Num\u00e9rique, May 2024, Le Bois-Plage-en-R\u00e9, \u00cele de R\u00e9, France. \u27e8hal-04610592\u27e9<\/a><\/u><\/p>\n

Pannetier V.,<\/strong> Michael Legu\u00e8be, Yves Coudi\u00e8re, Guilhem Faur\u00e9, 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. \u27e8hal-05150136\u27e9<\/a>
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Yamamoto K,<\/strong> 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<\/a><\/u><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

DISSEMINATION MATERIALS VIDEOS, PODCASTS 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-UtC9aT9rv3fyTuXQBqxyTlsF3IcSagSpoityfy Playlist – https:\/\/open.spotify.com\/show\/5o9a2lx8rHiRO8RDSXBQvK SimCardioTest Youtube Channel: https:\/\/www.youtube.com\/@simcardiotest4810 \u00a0 The project reposItOry Journal Barbier M. et al. 2021. What computational sciences can do for your heart vol 10 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":952,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1922","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/pages\/1922","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/comments?post=1922"}],"version-history":[{"count":68,"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/pages\/1922\/revisions"}],"predecessor-version":[{"id":5065,"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/pages\/1922\/revisions\/5065"}],"up":[{"embeddable":true,"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/pages\/952"}],"wp:attachment":[{"href":"https:\/\/www.simcardiotest.eu\/wordpress\/wp-json\/wp\/v2\/media?parent=1922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}