In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

In-depth analysis of legal and ethical requirements

This deliverable further elaborates on the main ethical and legal requirements identified in D9.1, in light of in-depth research including extensive analysis of legislation, case law and doctrine.

Final report on Advanced solutions

Report describing final versions of modelling track solutions.

Report on the certification of validation data

The report will provide identification of the best certification strategy for each of the initial collections. This will be reviewed against best practices also in other fields, but also by discussing specific issues regarding regulatory aspects. In addition a general certification strategy that could be effective for all validation data collections will be identified and discussed. In parallel methods to deal with data uncertainty and missing data in validation collections will be described and analysed using existing data collections

Report on initial validation data collections

The report will contain an analysis of the data collections (FFRValid, HFValid, TBValid and StentValid) with respect to their intended use and a description of the way they are published. In addition, a general characterisation of data collection types, intended use and the implication for storage, usability, searchability, and certification will be defined and published. Where possible this report will also contain datasets of other partners who are contributing early collections in terms of requirements and specific guidelines. The analysis will also consider the ethical, societal, and regulatory requirements.

Policy Brief

The policy brief is a report that is produced based on the preparatory phases of stakeholder outreach activities (networking & desk review). In the report, for each stakeholder group, the results of the data analysis will be presented and discussed and the resulting specific engagement actions will be listed. The final report document will be available by M36.

Legal and ethical inventory

This deliverable maps the relevant ethical and legal requirements that partners should take into account from the early stages of the project.

Publications

Surrogate model based sensitivity analysis of a one dimensional arterial pulse wave propagation model with correlated input

Auteurs: Pjotr Hilhorst
Publié dans: ISW Zenodo Repository, Numéro 3, 2022
Éditeur: UvA
DOI: 10.5281/zenodo.7225277

Sensitivity analysis of an one-dimensional pulse wave propagation model with correlated input

Auteurs: Hilhorst, Pjotr; Quicken, Sjeng; Van de Vosse, Frans; Huberts, Wouter
Publié dans: VPH2022 Abstract Book, 2022
Éditeur: Zenodo
DOI: 10.5281/zenodo.7488828

Serverless Approach to Sensitivity Analysis of Computational Models

Auteurs: Piotr Kica; Magdalena Otta; Krzysztof Czechowic; Karol Zajac; Piotr Nowakowski; Andrew Narracott; Ian Halliday; Maciej Malawski
Publié dans: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Numéro 7, 2023, ISBN 979-8-3503-0119-9
Éditeur: IEEE
DOI: 10.1109/ccgrid57682.2023.00064

Comparison of Flow Reduction Efficacy of Nominal and Oversized Flow Diverters Using a Novel Measurement-assisted in Silico Method

Auteurs: Benjamin Csippa, Levente Sándor, Gábor Závodszky, István Szikora, György Paál
Publié dans: Clinical Neuroradiology, Numéro 34, 2024, Page(s) 675-684, ISSN 1869-1439
Éditeur: Springer Nature
DOI: 10.1007/s00062-024-01404-4

Image-Based Musculoskeletal Models to Accurately Reproduce a Maximum Voluntary Isometric Contraction Test In Silico

Auteurs: Francesca Bottin, Marco Viceconti, Giorgio Davico
Publié dans: Applied Sciences, Numéro 14, 2024, Page(s) 8678, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app14198678

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

Auteurs: 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
Publié dans: CPT: Pharmacometrics & Systems Pharmacology, 2021, ISSN 2163-8306
Éditeur: Nature Publishing Group
DOI: 10.1002/psp4.12669

First blood: An efficient, hybrid one- and zero-dimensional, modular hemodynamic solver

Auteurs: Richárd Wéber, Dániel Gyürki, György Paál
Publié dans: International Journal for Numerical Methods in Biomedical Engineering, Numéro Volume 39, Numéro 5, 2023, ISSN 2040-7939
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1002/cnm.3701

Variability of intervertebral joint stiffness between specimens and spine levels

Auteurs: Samuele L. Gould, Giorgio Davico, Christian Liebsch, Hans-Joachim Wilke, Luca Cristofolini, Marco Viceconti
Publié dans: Frontiers in Bioengineering and Biotechnology, Numéro 12, 2024, ISSN 2296-4185
Éditeur: Frontiers
DOI: 10.3389/fbioe.2024.1372088

Sensitivity analysis for exploring the variability and parameter landscape in virtual patient cohorts of multi-vessel coronary artery disease

Auteurs: Pjotr Hilhorst, Bregje van de Wouw, Karol Zajac, Marcel van ’t Veer, Pim Tonino, Frans van de Vosse, Wouter Huberts
Publié dans: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Numéro 383, 2025, ISSN 1364-503X
Éditeur: Royal Society of London
DOI: 10.1098/rsta.2024.0230

Moving forward through the in silico modeling of multiple sclerosis: Treatment layer implementation and validation

Auteurs: Avisa Maleki, Elena Crispino, Serena Anna Italia, Valentina Di Salvatore, Maria Assunta Chiacchio, Fianne Sips, Roberta Bursi, Giulia Russo, Davide Maimone, Francesco Pappalardo
Publié dans: Computational and Structural Biotechnology Journal, Numéro 21, 2024, Page(s) 3081-3090, ISSN 2001-0370
Éditeur: Elsevier
DOI: 10.1016/j.csbj.2023.05.020

Credibility assessment of computational models according to ASME V&V40: Application to the Bologna Biomechanical Computed Tomography solution

Auteurs: Alessandra Aldieri, Cristina Curreli, Julia Aleksandra Szyszko, Antonino Amedeo La Mattina, Marco Viceconti
Publié dans: Computer Methods and Programs in Biomedicine, Numéro 240, 2024, Page(s) 107727, ISSN 0169-2607
Éditeur: Elsevier BV
DOI: 10.1016/j.cmpb.2023.107727

A Credibility Assessment Plan for an In Silico Model that Predicts the Dose–Response Relationship of New Tuberculosis Treatments

Auteurs: Cristina Curreli; Valentina Di Salvatore; Giulia Russo; Francesco Pappalardo; Marco Viceconti
Publié dans: Annals of Biomedical Engineering, Numéro Ann Biomed Eng volume 51, 2023, Page(s) 200–210, ISSN 1573-9686
Éditeur: Springer Nature
DOI: 10.1007/s10439-022-03078-w

Phantomless calibration of CT scans for hip fracture risk prediction in silico: Comparison with phantom-based calibration

Auteurs: Julia A. Szyszko, Alessandra Aldieri, Antonino A. La Mattina, Marco Viceconti
Publié dans: PLOS ONE, Numéro 19, 2024, Page(s) e0305474, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0305474

The impact of clot permeability on platelet fluxes toward its surface

Auteurs: Niksa Mohammadi Bagheri, Gabor Závodszky, Alfons G Hoekstra
Publié dans: PLOS ONE, Numéro 20, 2025, Page(s) e0317828, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0317828

Calibration of Aseptic Loosening Simulation for Coatings Osteoinductive Effect

Auteurs: Sofia Baroni, Sara Oliviero, Antonino Amedeo La Mattina, Melania Maglio, Lucia Martini, Milena Fini, Marco Viceconti
Publié dans: Annals of Biomedical Engineering, Numéro 53, 2025, Page(s) 34-47, ISSN 0090-6964
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10439-024-03588-9

Consensus statement on the credibility assessment of machine learning predictors

Auteurs: Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina, Axel Loewe, Francesco Pappalardo, Marco Viceconti
Publié dans: Briefings in Bioinformatics, Numéro 26, 2025, ISSN 1467-5463
Éditeur: Oxford University Press
DOI: 10.1093/bib/bbaf100

Comparing the predictions of CT-based subject-specific finite element models of human metastatic vertebrae with digital volume correlation measurements

Auteurs: Chiara Garavelli, Alessandra Aldieri, Marco Palanca, Enrico Dall’Ara, Marco Viceconti
Publié dans: Biomechanics and Modeling in Mechanobiology, Numéro 24, 2025, Page(s) 1017-1030, ISSN 1617-7959
Éditeur: Springer Verlag
DOI: 10.1007/s10237-025-01950-x

Efficient sensitivity analysis for biomechanical models with correlated inputs

Auteurs: Pjotr L. J. Hilhorst, Sjeng Quicken, Frans N. van de Vosse, Wouter Huberts
Publié dans: International Journal for Numerical Methods in Biomedical Engineering, 2023, ISSN 2040-7939
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1002/cnm.3797

A finite element model to simulate intraoperative fractures in cementless hip stem designs

Auteurs: Maila Petrucci, Antonino A. La Mattina, Cristina Curreli, Enrico Tassinari, Marco Viceconti
Publié dans: Medical Engineering & Physics, Numéro 135, 2025, Page(s) 104274, ISSN 1350-4533
Éditeur: Elsevier BV
DOI: 10.1016/j.medengphy.2024.104274

Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling

Auteurs: Salome Kakhaia; Pavel Zun; Dongwei Ye; Valeria Krzhizhanovskaya
Publié dans: Reliability Engineering & System Safety, Numéro Volume 238, October 2023, 109393, 2023, ISSN 0951-8320
Éditeur: Elsevier BV
DOI: 10.1016/j.ress.2023.109393

Comparative validation of two patient-specific modelling pipelines for predicting knee joint forces during level walking

Auteurs: Domitille Princelle, Giorgio Davico, Marco Viceconti
Publié dans: Journal of Biomechanics, Numéro 159, 2024, Page(s) 111758, ISSN 0021-9290
Éditeur: Elsevier BV
DOI: 10.1016/j.jbiomech.2023.111758

Finite Element Models to Predict the Risk of Aseptic Loosening in Cementless Femoral Stems: A Literature Review

Auteurs: Xiaoshu Sun, Cristina Curreli, Marco Viceconti
Publié dans: Applied Sciences, Numéro 14, 2024, Page(s) 3200, ISSN 2076-3417
Éditeur: mdpi
DOI: 10.3390/app14083200

Identification of a lumped-parameter model of the intervertebral joint from experimental data

Auteurs: Samuele L. Gould, Giorgio Davico, Marco Palanca, Marco Viceconti, Luca Cristofolini
Publié dans: Frontiers in Bioengineering and Biotechnology, Numéro 12, 2024, ISSN 2296-4185
Éditeur: Frontiers
DOI: 10.3389/fbioe.2024.1304334

In-silico techniques to inform and improve the personalized prescription of shoe insoles

Auteurs: Bryce A. Killen, Sam Van Rossom, Fien Burg, Jos Vander Sloten, Ilse Jonkers
Publié dans: Frontiers in Bioengineering and Biotechnology, Numéro 12, 2024, ISSN 2296-4185
Éditeur: Frontiers
DOI: 10.3389/fbioe.2024.1351403

In Silico clinical trial to predict the efficacy of hip protectors for preventing hip fractures

Auteurs: Sara Oliviero, Antonino A. La Mattina, Giacomo Savelli, Marco Viceconti
Publié dans: Journal of Biomechanics, Numéro 176, 2024, Page(s) 112335, ISSN 0021-9290
Éditeur: Elsevier BV
DOI: 10.1016/j.jbiomech.2024.112335

EMG-Informed Neuromusculoskeletal Simulations Increase the Accuracy of the Estimation of Knee Joint Contact Forces During Sub-optimal Level Walking

Auteurs: Domitille Princelle, Marco Viceconti, Giorgio Davico
Publié dans: Annals of Biomedical Engineering, Numéro 53, 2025, Page(s) 1399-1408, ISSN 0090-6964
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10439-025-03713-2

Boosting multiple sclerosis lesion segmentation through attention mechanism

Auteurs: Alessia Rondinella; Elena Crispino; Francesco Guarnera; Oliver Giudice; Alessandro Ortis; Giulia Russo; Clara Di Lorenzo; Davide Maimone; Francesco Pappalardo; Sebastiano Battiato
Publié dans: Computers in Biology and Medicine, Numéro Volume 161, July 2023, 107021, 2023, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2023.107021

Brokering responsible research and innovation in in silico medicine

Auteurs: Elisa Elhadj, Zita Van Horenbeeck, Elisa Lievevrouw, Ine Van Hoyweghen
Publié dans: Journal of Responsible Innovation, Numéro 11, 2025, ISSN 2329-9460
Éditeur: Taylor & Francis
DOI: 10.1080/23299460.2024.2414484

Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

Auteurs: Dongwei Ye; Pavel Zun; Valeria Krzhizhanovskaya; Alfons G. Hoekstra
Publié dans: Journal of the Royal Society Interface, 19(187):20210864. The Royal Society, Numéro Volume 19Numéro 187, 2022, ISSN 1742-5662
Éditeur: Royal Society
DOI: 10.1098/rsif.2021.0864

Effect of Suboptimal Neuromuscular Control on the Risk of Massive Wear in Total Knee Replacement

Auteurs: Marco Viceconti, Cristina Curreli, Francesca Bottin, Giorgio Davico
Publié dans: Annals of Biomedical Engineering, Numéro 49, 2021, Page(s) 3349-3355, ISSN 0090-6964
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10439-021-02795-y

Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer

Auteurs: Giuseppe Filitto; Francesca Coppola; Nico Curti; Enrico Giampieri; Daniele Dall'Olio; Alessandra Merlotti; Arrigo Cattabriga; Maria Cocozza; Makoto Taninokuchi Tomassoni; Daniel Remondini; Luisa Pierotti; Lidia Strigari; Dajana Cuicchi; Alessandra Guido; Karim Rihawi; Antonietta D'Errico; Francesca Di Fabio; Gilberto Poggioli; Alessio Morganti; Luigi Ricciardiello; Rita Golfieri; Gastone Castellan
Publié dans: Cancers; Volume 14; Numéro 9; Pages: 2231, Numéro 10, 2022, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14092231

In Silico Clinical Trial for Osteoporosis Treatments to Prevent Hip Fractures: Simulation of the Placebo Arm

Auteurs: Giacomo Savelli, Sara Oliviero, Antonino A. La Mattina, Marco Viceconti
Publié dans: Annals of Biomedical Engineering, 2024, ISSN 0090-6964
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10439-024-03636-4

Development and validation of a semi-automated and unsupervised method for femur segmentation from CT

Auteurs: Alessandra Aldieri, Riccardo Biondi, Antonino A. La Mattina, Julia A. Szyszko, Stefano Polizzi, Daniele Dall’Olio, Nico Curti, Gastone Castellani, Marco Viceconti
Publié dans: Scientific Reports, Numéro 14, 2024, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-024-57618-6

Statistical Properties of a Virtual Cohort for In Silico Trials Generated with a Statistical Anatomy Atlas

Auteurs: Antonino A. La Mattina; Fabio Baruffaldi; Mark Taylor; Marco Viceconti
Publié dans: Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society, Numéro Volume 51, pages 117–124, (2023), 2022, ISSN 1573-9686
Éditeur: Springer Nature
DOI: 10.1007/s10439-022-03050-8

Myobolica: A Stochastic Approach to Estimate Physiological Muscle Control Variability

Auteurs: Alex Bersani, Mercy Amankwah, Daniela Calvetti, Erkki Somersalo, Marco Viceconti, Giorgio Davico
Publié dans: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numéro 32, 2024, Page(s) 3270-3277, ISSN 1534-4320
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2024.3447791

Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research

Auteurs: M. Viceconti, M. De Vos, S. Mellone, L. Geris
Publié dans: IEEE Journal of Biomedical and Health Informatics, Numéro vol. 28, no. 1, pp. 491-501, Jan. 2024, 2024, ISSN 2168-2208
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jbhi.2023.3323688

Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review

Auteurs: Marco Viceconti; Luca Emili; Payman Afshari; Eulalie Courcelles; Cristina Curreli; Nele Famaey; Liesbet Geris; Marc Horner; Maria Cristina Jori; Alexander Kulesza; Axel Loewe; Michael Neidlin; Markus Reiterer; Cécile F. Rousseau; Giulia Russo; Simon J. Sonntag; Emmanuelle M. Voisin; Francesco Pappalardo
Publié dans: IEEE Journal of Biomedical and Health Informatics, Numéro Volume: 25 Numéro: 10, 2021, ISSN 2168-2208
Éditeur: IEEE
DOI: 10.1109/jbhi.2021.3090469

The association between human blood clot analogue computed tomography imaging, composition, contraction, and mechanical characteristics

Auteurs: Janneke M. H. Cruts, Jo-Anne Giezen, Kim van Gaalen, Robert Beurskens, Yanto Ridwan, Marcel L. Dijkshoorn, Heleen M. M. van Beusekom, Nikki Boodt, Aad van der Lugt, Judith J. de Vries, Moniek P. M. de Maat, Frank J. H. Gijsen, Rachel M. E. Cahalane
Publié dans: PLOS ONE, Numéro 18, 2023, Page(s) e0293456, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0293456

Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices

Auteurs: Francesco Pappalardo; John Wilkinson; Francois Busquet; Antoine Bril; Mark Palmer; Barry Walker; Cristina Curreli; Giulia Russo; Thierry Marchal; Elena Toschi; Rossana Alessandrello; Vincenzo Costignola; Ingrid Klingmann; Martina Contin; Bernard Staumont; Matthias Woiczinski; Christian Kaddick; Valentina Di Salvatore; Alessandra Aldieri; Liesbet Geris; Marco Viceconti
Publié dans: IEEE Journal of Biomedical and Health Informatics, Numéro Volume: 26, Numéro: 11, 2022, Page(s) 5282 - 5286, ISSN 2168-2208
Éditeur: IEEE
DOI: 10.1109/jbhi.2022.3198145

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

Auteurs: Raphaëlle Lesage; Michiel Van Oudheusden; Silvia Schievano; Ine Van Hoyweghen; Liesbet Geris; Claudio Capelli
Publié dans: Frontiers in Medical Technology, Numéro Front. Med. Technol., Volume 5 - 2023, 2023, ISSN 2673-3129
Éditeur: Frontiers
DOI: 10.3389/fmedt.2023.1125524

Computational identification of differentially-expressed genes as suggested novel COVID-19 biomarkers: A bioinformatics analysis of expression profiles

Auteurs: Valentina Di Salvatore, Elena Crispino, Avisa Maleki, Giulia Nicotra, Giulia Russo, Francesco Pappalardo
Publié dans: Computational and Structural Biotechnology Journal, Numéro 21, 2024, Page(s) 3339-3354, ISSN 2001-0370
Éditeur: Elsevier
DOI: 10.1016/j.csbj.2023.06.007

Experimental validation of a subject-specific finite element model of lumbar spine segment using digital image correlation

Auteurs: Chiara Garavelli; Cristina Curreli; Marco Palanca; Alessandra Aldieri; Luca Cristofolini; Marco Viceconti
Publié dans: PLOS ONE, Numéro September 9, 2022, 2022, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0272529

In Silico Trials: An updated SWOT Analysis

Auteurs: Viceconti, Marco
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.14221258

Proximal femur bone mineral density in osteoporotic patients a review of placebo groups in clinical trials

Auteurs: Oliviero, Sara
Publié dans: ISW Zenodo repository, Numéro 5, 2022
Éditeur: UNIBO
DOI: 10.5281/zenodo.7248963

Policy brief: Accelerating the uptake of in silico trials in healthcare

Auteurs: Geris, Liesbet; Van Horenbeeck, Zita; Rangarajan, Janaki Raman; Biasin, Elisabetta; Van Hoyweghen, Ine; Viceconti, Marco
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.14534366

Computer modelling and simulation in clinics: mapping usage and opinions for advancing in silico medicine

Auteurs: Raphaelle Lesage; Michiel Van Oudheusden; Martina Contin; Silvia Schievano; Liesbet Geris; Claudio Capelli
Publié dans: ISW Zenodo Repository, Numéro 6, 2022
Éditeur: VPHi KU Leuven
DOI: 10.5281/zenodo.7437507

A systematic approach to define intended learning outcomes for different stakeholders for In Silico Trials

Auteurs: Vander Linden, Klaas; Van Looy, Guy; Davico, Giorgio; Viceconti, Marco; Vander Sloten, Jos
Publié dans: Numéro 1, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.8380239

The In Silico Medicine Info Kit - VPHi

Auteurs: Rangarajan, Janaki Raman; Montesarchio, Davide; Van Horenbeeck, Zita; Stanic, Goran; De Michele, Roberta; platonov, artem; Lesage, Raphaëlle; Contin, Martina; geris, liesbet; Caccaro, Desirée
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.14536119

REGULATORY BARRIERS TO THE ADOPTION OF IN SILICO TRIALS

Auteurs: Viceconti, Marco; Pappalardo, Francesco; Curreli, Cristina; Russo, Giulia; Aldieri, Alessandra
Publié dans: Numéro 1, 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.10948477

BBCT-Hip Qualification advice with EMA - Public Domain Documents

Auteurs: Viceconti, Marco; Curreli, Cristina; Aldieri, Alessandra; Pappalardo, Francesco
Publié dans: Numéro 2, 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.10938447

European Union: from the land of rights to the land of rules

Auteurs: Viceconti, Marco
Publié dans: 2024
Éditeur: Not applicable
DOI: 10.5281/zenodo.14172843

UISS-TB Qualification advice with EMA - Public Domain Documents

Auteurs: Pappalardo, Francesco; Viceconti, Marco; Curreli, Cristina; Russo, Giulia
Publié dans: Numéro 1, 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.10939449

Proposal for curricula to train and retrain different stakeholders on In Silico Trials

Auteurs: Vander Linden, Klaas; Van Looy, Guy; Davico, Giorgio; Viceconti, Marco; Vander Sloten, Jos
Publié dans: ISW Zenodo repository, 2023
Éditeur: KU Leuven
DOI: 10.5281/zenodo.10400657

Mapping the use of computer modelling and simulation in clinics

Auteurs: Raphaëlle; Michiel; Silvia; Ine; Claudio; Giulia; Martina; Roberta; Goran
Publié dans: ISW Zenodo Repository, Numéro 7, 2023
Éditeur: VPHi
DOI: 10.5281/zenodo.7974392

Does interdisciplinary science truly exist?

Auteurs: Viceconti, Marco
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.13926154

"Dataset and Processing Code Accompanying the Paper: ""Sensitivity Analysis for Exploring the Variability and Parameter Landscape in Virtual Patient Cohorts of Multi-Vessel Coronary Artery Disease"" by Hilhorst et al."

Auteurs: Hilhorst, Pjotr L. J.; Wouw, van de, Bregje; Zając, Karol; Van 't Veer, Marcel; Tonino, Pim; van de Vosse, Frans; Huberts, Wouter
Publié dans: Numéro 1, 2025
Éditeur: Zenodo
DOI: 10.5281/zenodo.14718147

Toward Good Simulation Practice

Auteurs: Marco Viceconti, Luca Emili
Publié dans: Synthesis Lectures on Biomedical Engineering, 2024, ISSN 1930-0328
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48284-7

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