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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

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

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

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

Autori: Pannetier, Valentin and Leguèbe, Michael and Coudière, Yves and Walton, Richard and Dhiver, Philippe and Feuerstein, Delphine and Amaro, Diego
Pubblicato in: Functional Imaging and Modeling of the Heart, 2023, Pagina/e 194 - 203, ISBN 978-3-031-35302-4
Editore: 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

Autori: Jordi Mill, Josquin Harrison, Benoit Legghe, Andy L. Olivares, Xabier Morales, Jerome Noailly, Xavier Iriart, Hubert Cochet, Maxime Sermesant, Oscar Camara
Pubblicato in: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numero Lecture Notes in Computer Science book series (LNIP, volume 12738), 2021, Pagina/e 605-616, ISBN 978-3-030-78710-3
Editore: 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

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

In Silico Evaluation of New Approaches in Cardiac Resynchronization Therapy

Autori: Cristóbal R Ruiz, , Juan F Gómez, Eduardo Castellanos, Jesús Almendral, Beatriz Trenor
Pubblicato in: Computing in Cardiology 2022, 2022
Editore: IEEE
DOI: 10.22489/cinc.2022.102

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

Autori: Ander Loidi, José M Ferrero
Pubblicato in: Computing in Cardiology 2022, 2022
Editore: IEEE
DOI: 10.22489/cinc.2022.044

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

Autori: Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara
Pubblicato in: International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Numero Lecture Notes in Computer Science, vol 12738, 2021, Pagina/e 639-649, ISBN 978-3-030-78710-3
Editore: Springer
DOI: 10.1007/978-3-030-78710-3_61

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

Autori: Ander Loidi, José M Ferrero
Pubblicato in: Computing in Cardiology 2022, Numero 49, 2022
Editore: IEEE
DOI: 10.22489/cinc.2022.062

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

Autori: Albors, C., Olivares, A. L., Iriart, X., Cochet, H., Mill, J., & Camara, O
Pubblicato in: Lecture Notes in Computer Science, Numero 13958, 2023, ISBN 978-3-031-35302-4
Editore: 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

Autori: Eric Planas, Jordi Mill, Andy L. Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart, Hubert Cochet, Oscar Camara
Pubblicato in: International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, Numero Lecture Notes in Computer Science book series (LNIP, volume 13131), 2022, Pagina/e 160-168, ISBN 978-3-030-93722-5
Editore: 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

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

Computational Study of Drug Effects on Different Atrial Fibrillation Stages

Autori: Violeta Puche-García, Lucía Romero, Javier Saiz
Pubblicato in: Computing in Cardiology 2023, Numero 50, 2023, ISSN 2325-887X
Editore: IEEE
DOI: 10.22489/cinc.2023.355

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

Autori: Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli
Pubblicato in: 2023 Computing in Cardiology (CinC), Numero 50, 2023, Pagina/e 1-4
Editore: 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

Autori: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B.
Pubblicato in: Dasí, A., Hernández-Romero, I., Gomez, J. F., Climent, A. M., Ferrero, J. M., & Trenor, B., Numero Volume 137, October 2021, 104796, 2021, ISSN 0010-4825
Editore: 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

Autori: Belletti R., Romero L., Martinez-Mateu L., Cherry Elizabeth M., Fenton F. H., Saiz J.
Pubblicato in: Frontiers in Physiology,, Numero 12, 2021, ISSN 1664-042X
Editore: Frontiers Research Foundation
DOI: 10.3389/fphys.2021.681943

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

Autori: Lesage, Raphaëlle; Van Oudheusden, Michiel; Schievano, Silvia; Van Hoyweghen, Ine; Geris, Liesbet; Capelli, Claudio
Pubblicato in: Frontiers in Medical Technology, Numero 23, 2023, ISSN 2673-3129
Editore: 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

Autori: Fernando Escobar, Julio Gomis-Tena, Javier Saiz, Lucía Romero
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 226, 2022, ISSN 1872-7565
Editore: 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

Autori: Mill, J., Montoliu, H., Moustafa, A. H., Olivares, A. L., Albors, C., Aguado, A. M., ... & Camara, O
Pubblicato in: International journal of bioprinting, Numero 9, 2023, ISSN 2424-8002
Editore: 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

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

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

Autori: Jordi Llopis-Lorente, Beatriz Trénor, Javier Saiz
Pubblicato in: Computing in Cardiology (CinC), Numero Vol 48, 2021, Pagina/e 1-4, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.23919/cinc53138.2021.9662679

VaMPy: An Automated and Objective Pipeline for Modeling Vascular Geometries

Autori: Henrik A. Kjeldsberg; Aslak W. Bergersen; Kristian Valen-Sendstad
Pubblicato in: Journal of Open Source Software, 2023, ISSN 2475-9066
Editore: Open Journals
DOI: 10.21105/joss.05278

simcardems: A FEniCS-based cardiac electro-mechanics solver

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

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

Autori: Karolina Kopanska, Pablo Rodríguez‑Belenguer, Jordi Llopis‑Lorente, Beatriz Trenor, Javier Saiz, Manuel Pastor
Pubblicato in: Archives of Toxicology, Numero 97, 2023, ISSN 1432-0738
Editore: Springer
DOI: 10.1007/s00204-023-03557-6

Left Atrial Thrombus-Are All Atria and Appendages Equal?

Autori: Cresti A, Camara O
Pubblicato in: Interventional Cardiology Clinics, 2022, ISSN 2211-7458
Editore: 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?

Autori: Khalili, Ehsan; Daversin-Catty, C'ecile; Olivares, Andy L.; Mill, Jordi; Camara, Oscar; Valen-Sendstad, Kristian
Pubblicato in: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Editore: 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.

Autori: Carpio, E. F., Gomez, J. F., Rodríguez-Matas, J. F., Trenor, B., & Ferrero, J. M.
Pubblicato in: Computers in Biology and Medicine., Numero 141, 2021, ISSN 0010-4825
Editore: 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

Autori: Maria Teresa Mora, Antonio Zaza, Beatriz Trenor
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 230, 2023, ISSN 2666-9900
Editore: ELSEVIER
DOI: 10.1016/j.cmpb.2023.107350

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

Autori: Kjeldsberg, Henrik A.; Sundnes, Joakim; Valen-Sendstad, Kristian
Pubblicato in: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Editore: 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

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

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

Autori: Llopis-Lorente, J., Trenor, B., & Saiz, J.
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero Vol 221C June 2022, 2022, Pagina/e 106934, ISSN 0169-2607
Editore: 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

Autori: Xabier Morales Ferez; Jordi Mill; Kristine Aavild Juhl; Cesar Acebes; Xavier Iriart; Benoit Legghe; Hubert Cochet; Ole De Backer; Rasmus Reinhold Paulsen; Oscar Camara
Pubblicato in: Frontiers in Physiology, 2021, ISSN 1664-042X
Editore: 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

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

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

Autori: 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
Pubblicato in: CPT Pharmacometrics Syst Pharmacol., Numero 2021, 8 June, 2021, Pagina/e 804-825, ISSN 2163-8306
Editore: 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

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

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

Autori: Nicolas Duchateau, Oscar Camara
Pubblicato in: Reduced Order Models for the Biomechanics of Living Organs Edited by: Francisco Chinesta, Elías Cueto, ... Jacques Ohayon, 2023, Pagina/e 147-164, ISBN 978-0-323-89967-3
Editore: 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.

Autori: Morales, X., Albors, C., Mill, J., & Camara, O.
Pubblicato in: Lecture Notes in Computer Science, Numero 13593, 2022, ISSN 1611-3349
Editore: Springer
DOI: 10.1007/978-3-031-23443-9_4

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