Simulation of Cardiac Devices & Drugs for in-silico Testing and Certification

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Modelling & personalisation survey

Reports that gathers input from all partners in order to standardize models input & output.

Report on global standardisation

Specification document on the chosen formalism for standardized modelling and personalization.

Fluid simulations with optimised boundary conditions

Report on the personalized simulation of blood flows.

Report on the standardised models for LAAO devices

Description of the standardized simulation for the second use-case.

Description of biomarkers for drug safety, efficacy & cardiotoxicity

Reports on biomarkers used to evaluate drug safety, efficacy & cardiotoxicity.

Software API for pharmacokinetics

Specifications of the standardized interface for pharmacokinetics simulations for drugs specific to the project.

Report on the standardised models for interventional devices

Description of the standardized simulation for the first use-case.

Communication toolkits for physicians & patient organisations

First report on the exploitation strategy and market assessment for the project outcome.

Report on the standardised models for drugs

Description of the standardized models and simulations for the third use-case.

Dissemination and Communication strategy plan

Report on the communication and dissemination activities strategy for the project.

Report on the in-silico trial of pacing leads & catheters

Report on the results of the in-silico trials run for the first use-case.

Report on the in-silico trial of drug efficacy & cardiotoxicity

Report on the results of the in-silico trials run for the third use-case.

Cloud-based platform for pacing device simulation

Demonstration of the integration of the first use-case into the cloud platform.

Cloud-based platform for drugs simulation

Demonstration of the integration of the third use-case into the cloud platform.

Cloud-based platform for LAAO simulation

Demonstration of the integration of the second use-case into the cloud platform.

Demonstration of several catheters simulated and real ones

Demonstrator of catheter navigation within the simulator.

Demonstrator of simulation of drug effects in cellular and 3D models

Demonstration of simulation results for the third use-case.

Database of fluid simulations in virtual population

Demonstrator of computer models for device planning.

Database of virtual human cardiac models with drug interaction

Open-access database of detailed cardiac models for drug interaction simulation

Website and online presence

Project website and social media accounts online.

Publikacje

Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data

Autorzy: Irum Baseer, Israel Valverde, Abdel H. Moustafa, Josep Blat, Oscar Camara
Opublikowane w: IEEE Visualization and Visual Analytics (VIS), 2023, ISSN 2331-8422
Wydawca: IEEE
DOI: 10.1109/vis54172.2023.00024

Modeling Cardiac Stimulation by a Pacemaker, with Accurate Tissue-Electrode Interface

Autorzy: Pannetier, Valentin and Leguèbe, Michael and Coudière, Yves and Walton, Richard and Dhiver, Philippe and Feuerstein, Delphine and Amaro, Diego
Opublikowane w: Functional Imaging and Modeling of the Heart, 2023, Strona(/y) 194 - 203, ISBN 978-3-031-35302-4
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-35302-4_20

In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort

Autorzy: Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jerome Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara
Opublikowane w: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numer Lecture Notes in Computer Science book series (LNIP, volume 12738), 2021, Strona(/y) 605-616, ISBN 978-3-030-78710-3
Wydawca: Springer, Cham
DOI: 10.1007/978-3-030-78710-3_58

Omecamtiv Mecarbil Improves Contraction Behaviour in a 3D Electromechanical Tissue Model of Heart Failure

Autorzy: Ilsbeth van Herck, Maria Teresa Mora, Jordi Llopis-Lorente, Henrik Finsberg, Cécile Daversin Catty , Javier Saiz, Beatriz Trenor, Hermenegild Arevalo, Samuel Wal
Opublikowane w: Computing in Cardiology 2022, Numer 49, 2022
Wydawca: IEEE
DOI: 10.22489/cinc.2022.033

In Silico Evaluation of New Approaches in Cardiac Resynchronization Therapy

Autorzy: Cristóbal R Ruiz, , Juan F Gómez, Eduardo Castellanos, Jesús Almendral, Beatriz Trenor
Opublikowane w: Computing in Cardiology 2022, 2022
Wydawca: IEEE
DOI: 10.22489/cinc.2022.102

Simulation Study of the Protective Effect of Drugs in Acute Myocardial Ischemia

Autorzy: Ander Loidi, José M Ferrero
Opublikowane w: Computing in Cardiology 2022, 2022
Wydawca: IEEE
DOI: 10.22489/cinc.2022.044

Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage

Autorzy: Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara
Opublikowane w: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numer Lecture Notes in Computer Science, vol 12738, 2021, Strona(/y) 639-649, ISBN 978-3-030-78710-3
Wydawca: Springer
DOI: 10.1007/978-3-030-78710-3_61

Using Computational Modelling to Define the Ideal Characteristics of Antiarrhythmic Drugs in Acute Ischemia

Autorzy: Ander Loidi, José M Ferrero
Opublikowane w: Computing in Cardiology 2022, Numer 49, 2022
Wydawca: IEEE
DOI: 10.22489/cinc.2022.062

Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment.

Autorzy: Albors, C., Olivares, A. L., Iriart, X., Cochet, H., Mill, J., & Camara, O
Opublikowane w: Lecture Notes in Computer Science, Numer 13958, 2023, ISBN 978-3-031-35302-4
Wydawca: SPRINGER LINK
DOI: 10.1007/978-3-031-35302-4_50

In-silico Analysis of Device-Related Thrombosis for Different Left Atrial Appendage Occluder Settings

Autorzy: Eric Planas, Jordi Mill, Andy L. Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart, Hubert Cochet, Oscar Camara
Opublikowane w: International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, Numer Lecture Notes in Computer Science book series (LNIP, volume 13131), 2022, Strona(/y) 160-168, ISBN 978-3-030-93722-5
Wydawca: Springer, Cham
DOI: 10.1007/978-3-030-93722-5_18

Unsupervised Machine Learning Exploration of Morphological and Haemodynamic Indices to Predict Thrombus Formation in the Left Atrial Appendage

Autorzy: Marta Saiz-Vivó, Jord Mill, Josquin Harrison, Guillermo Jimenez-Pérez, Benoit Legghe, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant & Oscar Camara
Opublikowane w: Lecture Notes in Computer science, Numer 13593, 2023, ISSN 1611-3349
Wydawca: ACM DIGITAL LIBRARY
DOI: 10.1007/978-3-031-23443-9_19

Computational Study of Drug Effects on Different Atrial Fibrillation Stages

Autorzy: Violeta Puche-García, Lucía Romero, Javier Saiz
Opublikowane w: Computing in Cardiology 2023, Numer 50, 2023, ISSN 2325-887X
Wydawca: IEEE
DOI: 10.22489/cinc.2023.355

A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment

Autorzy: Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli
Opublikowane w: 2023 Computing in Cardiology (CinC), Numer 50, 2023, Strona(/y) 1-4
Wydawca: IEEE
DOI: 10.22489/cinc.2023.009

Analysis of the response of human iPSC-derived cardiomyocyte tissue to ICaL block. A combined in vitro and in silico approach

Autorzy: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B.
Opublikowane w: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B., Numer Volume 137, October 2021, 104796, 2021, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104796

Arrhythmogenic Effects of Genetic Mutations Affecting Potassium Channels in Human Atrial Fibrillation: A Simulation Study

Autorzy: Belletti R., Romero L., Martinez-Mateu L., Cherry Elizabeth M., Fenton F. H., Saiz J.
Opublikowane w: Frontiers in Physiology,, Numer 12, 2021, ISSN 1664-042X
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.681943

Mapping the use of computational modelling and simulation in clinics: A survey

Autorzy: Lesage, Raphaëlle; Van Oudheusden, Michiel; Schievano, Silvia; Van Hoyweghen, Ine; Geris, Liesbet; Capelli, Claudio
Opublikowane w: Frontiers in Medical Technology, Numer 23, 2023, ISSN 2673-3129
Wydawca: Frontiers
DOI: 10.3389/fmedt.2023.1125524

Automatic modeling of dynamic drug-hERG channel interactions using three voltage protocols and machine learning techniques: A simulation study

Autorzy: Fernando Escobar, Julio Gomis-Tena, Javier Saiz, Lucía Romero
Opublikowane w: Computer Methods and Programs in Biomedicine, Numer 226, 2022, ISSN 1872-7565
Wydawca: ELSEVIER
DOI: 10.1016/j.cmpb.2022.107148

Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions

Autorzy: Mill, J., Montoliu, H., Moustafa, A. H., Olivares, A. L., Albors, C., Aguado, A. M., ... & Camara, O
Opublikowane w: International journal of bioprinting, Numer 9, 2023, ISSN 2424-8002
Wydawca: AccScience Publishing
DOI: 10.18063/ijb.v9i1.640

Experimentally validated modeling of dynamic drug-hERG channel interactions reproducing the binding mechanisms and its importance in action potential duration

Autorzy: Fernando Escobar, Soren Friis, Nouran Adly, Nina Brinkwirth, Julio Gomis-Tena, Javier Saiz, Dan A. Klaerke, Sonja Stoelzle-Feix, Lucia Romero
Opublikowane w: Computer Methods and Programs in Biomedicine, 2024, ISSN 0169-2607
Wydawca: Elsevier BV
DOI: 10.1016/j.cmpb.2024.108293

Prediction of Drug-Induced Arrhythmogenic Risk Using In Silico Populations of Models

Autorzy: Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz
Opublikowane w: Computing in Cardiology (CinC), Numer Vol 48, 2021, Strona(/y) 1-4, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.23919/cinc53138.2021.9662679

VaMPy: An Automated and Objective Pipeline for Modeling Vascular Geometries

Autorzy: Henrik A. Kjeldsberg; Aslak W. Bergersen; Kristian Valen-Sendstad
Opublikowane w: Journal of Open Source Software, 2023, ISSN 2475-9066
Wydawca: Open Journals
DOI: 10.21105/joss.05278

simcardems: A FEniCS-based cardiac electro-mechanics solver

Autorzy: Henrik Nicolay Topnes Finsberg; Ilsbeth Gerarda Maria van Herck; Cécile Daversin-Catty; Hermenegild Arevalo; Samuel Wall
Opublikowane w: Journal of Open Source Software, 2023, ISSN 2475-9066
Wydawca: Open Journals
DOI: 10.21105/joss.04753

Uncertainty assessment of proarrhythmia predictions derived from multi‑level in silico models

Autorzy: Karolina Kopanska, Pablo Rodríguez‑Belenguer, Jordi Llopis‑Lorente, Beatriz Trenor, Javier Saiz, Manuel Pastor
Opublikowane w: Archives of Toxicology, Numer 97, 2023, ISSN 1432-0738
Wydawca: Springer
DOI: 10.1007/s00204-023-03557-6

Left Atrial Thrombus-Are All Atria and Appendages Equal?

Autorzy: Cresti A, Camara O
Opublikowane w: Interventional Cardiology Clinics, 2022, ISSN 2211-7458
Wydawca: Elsevier BV
DOI: 10.1016/j.iccl.2021.11.005

On The Importance of Fundamental Computational Fluid Dynamics Towards a Robust and Reliable Model of Left Atrial Flows: Is There More Than Meets the Eye?

Autorzy: Khalili, Ehsan; Daversin-Catty, C'ecile; Olivares, Andy L.; Mill, Jordi; Camara, Oscar; Valen-Sendstad, Kristian
Opublikowane w: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Wydawca: John Wiley & Sons Ltd.
DOI: 10.48550/arxiv.2302.01716

Analysis of vulnerability to reentry in acute myocardial ischemia using a realistic human heart model.

Autorzy: Carpio, E. F., Gomez, J. F., Rodríguez-Matas, J. F., Trenor, B., & Ferrero, J. M.
Opublikowane w: Computers in Biology and Medicine., Numer 141, 2021, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.105038

Insights from an electro-mechanical heart failure cell model: Role of SERCA enhancement on arrhythmogenesis and myocyte contraction

Autorzy: Maria Teresa Mora, Antonio Zaza, Beatriz Trenor
Opublikowane w: Computer Methods and Programs in Biomedicine, Numer 230, 2023, ISSN 2666-9900
Wydawca: ELSEVIER
DOI: 10.1016/j.cmpb.2023.107350

A verified and validated moving domain CFD solver with applications to cardiovascular flows

Autorzy: Kjeldsberg, Henrik A.; Sundnes, Joakim; Valen-Sendstad, Kristian
Opublikowane w: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Wydawca: John Wiley & Sons Ltd.
DOI: 10.48550/arxiv.2305.15539

Application of Machine Learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia

Autorzy: Pablo Rodriguez-Berenguer, Karolina Kopanska, Jordi Llopis-Lorente , Beatriz Trenor , Javier Saiz , Manuel Pastor.
Opublikowane w: Computer Methods and Programs in Biomedicine, Numer 230, 2023, ISSN 2666-9900
Wydawca: ELSEVIER
DOI: 10.1016/j.cmpb.2023.107345

Considering population variability of electrophysiological models improves the assessment of drug-induced torsadogenic risk

Autorzy: Llopis-Lorente, J., Trenor, B., & Saiz, J.
Opublikowane w: Computer Methods and Programs in Biomedicine, Numer Vol 221C June 2022, 2022, Strona(/y) 106934, ISSN 0169-2607
Wydawca: Elsevier BV
DOI: 10.1016/j.cmpb.2022.106934

Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Autorzy: Xabier Morales Ferez; Jordi Mill; Kristine Aavild Juhl; Cesar Acebes; Xavier Iriart; Benoit Legghe; Hubert Cochet; Ole De Backer; Rasmus Reinhold Paulsen; Oscar Camara
Opublikowane w: Frontiers in Physiology, 2021, ISSN 1664-042X
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.694945

Sensitivity Analysis of In Silico Fluid Simulations to Predict Thrombus Formation after Left Atrial Appendage Occlusion

Autorzy: Mill J, Agudelo V, Olivares AL, Pons MI, Silva E, Nuñez-Garcia M, Morales X, Arzamendi D, Freixa X, Noailly J, Camara O
Opublikowane w: Mathematics, 2022, ISSN 2227-7390
Wydawca: MDPI
DOI: 10.3390/math9182304

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility

Autorzy: Flora T. Musuamba, Ine Skottheim Rusten, Raphaëlle Lesage, Giulia Russo, Roberta Bursi, Luca Emili, Gaby Wangorsch,Efthymios Manolis, Kristin E. Karlsson, Alexander Kulesza, Eulalie Courcelles, Jean- Pierre Boissel, Cécile F. Rousseau,Emmanuelle M. Voisin,Rossana Alessandrello, Nuno Curado, Enrico Dall’ara, Blanca Rodriguez, Francesco Pappalardo, Liesbet Geris
Opublikowane w: CPT Pharmacometrics Syst Pharmacol., Numer 2021, 8 June, 2021, Strona(/y) 804-825, ISSN 2163-8306
Wydawca: Nature Publishing Group
DOI: 10.1002/psp4.12669

Sensitivity Analysis of Left Atrial Wall Modeling Approaches and Inlet/Outlet Boundary Conditions in Fluid Simulations to Predict Thrombus Formation

Autorzy: Albors, C., Mill, J., Kjeldsberg, H. A., Viladés Medel, D., Olivares, A. L., Valen-Sendstad, K., & Camara, O
Opublikowane w: Lecture Notes in Computer Science, Numer 13593, 2023, ISSN 0302-9743
Wydawca: SPRINGER LINK
DOI: 10.1007/978-3-031-23443-9_17

Chapter 7 - Machine learning and biophysical models: how to benefit each other?

Autorzy: Nicolas Duchateau, Oscar Camara
Opublikowane w: Reduced Order Models for the Biomechanics of Living Organs Edited by: Francisco Chinesta, Elías Cueto, ... Jacques Ohayon, 2023, Strona(/y) 147-164, ISBN 978-0-323-89967-3
Wydawca: ELSEVIER
DOI: 10.1016/b978-0-32-389967-3.00009-3

Towards Real-Time Optimization of Left Atrial Appendage Occlusion Device Placement Through Physics-Informed Neural Networks.

Autorzy: Morales, X., Albors, C., Mill, J., & Camara, O.
Opublikowane w: Lecture Notes in Computer Science, Numer 13593, 2022, ISSN 1611-3349
Wydawca: Springer
DOI: 10.1007/978-3-031-23443-9_4

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