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

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

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.

Pubblicazioni

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

Autori: Pjotr Hilhorst
Pubblicato in: ISW Zenodo Repository, Numero 3, 2022
Editore: UvA
DOI: 10.5281/zenodo.7225277

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

Autori: Hilhorst, Pjotr; Quicken, Sjeng; Van de Vosse, Frans; Huberts, Wouter
Pubblicato in: VPH2022 Abstract Book, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7488828

Serverless Approach to Sensitivity Analysis of Computational Models

Autori: Piotr Kica; Magdalena Otta; Krzysztof Czechowic; Karol Zajac; Piotr Nowakowski; Andrew Narracott; Ian Halliday; Maciej Malawski
Pubblicato in: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Numero 7, 2023, ISBN 979-8-3503-0119-9
Editore: 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

Autori: Benjamin Csippa, Levente Sándor, Gábor Závodszky, István Szikora, György Paál
Pubblicato in: Clinical Neuroradiology, Numero 34, 2024, Pagina/e 675-684, ISSN 1869-1439
Editore: Springer Nature
DOI: 10.1007/s00062-024-01404-4

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

Autori: Francesca Bottin, Marco Viceconti, Giorgio Davico
Pubblicato in: Applied Sciences, Numero 14, 2024, Pagina/e 8678, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app14198678

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 & Systems Pharmacology, 2021, ISSN 2163-8306
Editore: Nature Publishing Group
DOI: 10.1002/psp4.12669

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

Autori: Richárd Wéber, Dániel Gyürki, György Paál
Pubblicato in: International Journal for Numerical Methods in Biomedical Engineering, Numero Volume 39, Numero 5, 2023, ISSN 2040-7939
Editore: John Wiley & Sons Ltd.
DOI: 10.1002/cnm.3701

Variability of intervertebral joint stiffness between specimens and spine levels

Autori: Samuele L. Gould, Giorgio Davico, Christian Liebsch, Hans-Joachim Wilke, Luca Cristofolini, Marco Viceconti
Pubblicato in: Frontiers in Bioengineering and Biotechnology, Numero 12, 2024, ISSN 2296-4185
Editore: 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

Autori: Pjotr Hilhorst, Bregje van de Wouw, Karol Zajac, Marcel van ’t Veer, Pim Tonino, Frans van de Vosse, Wouter Huberts
Pubblicato in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Numero 383, 2025, ISSN 1364-503X
Editore: 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

Autori: Avisa Maleki, Elena Crispino, Serena Anna Italia, Valentina Di Salvatore, Maria Assunta Chiacchio, Fianne Sips, Roberta Bursi, Giulia Russo, Davide Maimone, Francesco Pappalardo
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 21, 2024, Pagina/e 3081-3090, ISSN 2001-0370
Editore: 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

Autori: Alessandra Aldieri, Cristina Curreli, Julia Aleksandra Szyszko, Antonino Amedeo La Mattina, Marco Viceconti
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 240, 2024, Pagina/e 107727, ISSN 0169-2607
Editore: 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

Autori: Cristina Curreli; Valentina Di Salvatore; Giulia Russo; Francesco Pappalardo; Marco Viceconti
Pubblicato in: Annals of Biomedical Engineering, Numero Ann Biomed Eng volume 51, 2023, Pagina/e 200–210, ISSN 1573-9686
Editore: 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

Autori: Julia A. Szyszko, Alessandra Aldieri, Antonino A. La Mattina, Marco Viceconti
Pubblicato in: PLOS ONE, Numero 19, 2024, Pagina/e e0305474, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0305474

The impact of clot permeability on platelet fluxes toward its surface

Autori: Niksa Mohammadi Bagheri, Gabor Závodszky, Alfons G Hoekstra
Pubblicato in: PLOS ONE, Numero 20, 2025, Pagina/e e0317828, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0317828

Calibration of Aseptic Loosening Simulation for Coatings Osteoinductive Effect

Autori: Sofia Baroni, Sara Oliviero, Antonino Amedeo La Mattina, Melania Maglio, Lucia Martini, Milena Fini, Marco Viceconti
Pubblicato in: Annals of Biomedical Engineering, Numero 53, 2025, Pagina/e 34-47, ISSN 0090-6964
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10439-024-03588-9

Consensus statement on the credibility assessment of machine learning predictors

Autori: Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina, Axel Loewe, Francesco Pappalardo, Marco Viceconti
Pubblicato in: Briefings in Bioinformatics, Numero 26, 2025, ISSN 1467-5463
Editore: 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

Autori: Chiara Garavelli, Alessandra Aldieri, Marco Palanca, Enrico Dall’Ara, Marco Viceconti
Pubblicato in: Biomechanics and Modeling in Mechanobiology, Numero 24, 2025, Pagina/e 1017-1030, ISSN 1617-7959
Editore: Springer Verlag
DOI: 10.1007/s10237-025-01950-x

Efficient sensitivity analysis for biomechanical models with correlated inputs

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

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

Autori: Maila Petrucci, Antonino A. La Mattina, Cristina Curreli, Enrico Tassinari, Marco Viceconti
Pubblicato in: Medical Engineering & Physics, Numero 135, 2025, Pagina/e 104274, ISSN 1350-4533
Editore: Elsevier BV
DOI: 10.1016/j.medengphy.2024.104274

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

Autori: Salome Kakhaia; Pavel Zun; Dongwei Ye; Valeria Krzhizhanovskaya
Pubblicato in: Reliability Engineering & System Safety, Numero Volume 238, October 2023, 109393, 2023, ISSN 0951-8320
Editore: 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

Autori: Domitille Princelle, Giorgio Davico, Marco Viceconti
Pubblicato in: Journal of Biomechanics, Numero 159, 2024, Pagina/e 111758, ISSN 0021-9290
Editore: 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

Autori: Xiaoshu Sun, Cristina Curreli, Marco Viceconti
Pubblicato in: Applied Sciences, Numero 14, 2024, Pagina/e 3200, ISSN 2076-3417
Editore: mdpi
DOI: 10.3390/app14083200

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

Autori: Samuele L. Gould, Giorgio Davico, Marco Palanca, Marco Viceconti, Luca Cristofolini
Pubblicato in: Frontiers in Bioengineering and Biotechnology, Numero 12, 2024, ISSN 2296-4185
Editore: Frontiers
DOI: 10.3389/fbioe.2024.1304334

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

Autori: Bryce A. Killen, Sam Van Rossom, Fien Burg, Jos Vander Sloten, Ilse Jonkers
Pubblicato in: Frontiers in Bioengineering and Biotechnology, Numero 12, 2024, ISSN 2296-4185
Editore: Frontiers
DOI: 10.3389/fbioe.2024.1351403

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

Autori: Sara Oliviero, Antonino A. La Mattina, Giacomo Savelli, Marco Viceconti
Pubblicato in: Journal of Biomechanics, Numero 176, 2024, Pagina/e 112335, ISSN 0021-9290
Editore: 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

Autori: Domitille Princelle, Marco Viceconti, Giorgio Davico
Pubblicato in: Annals of Biomedical Engineering, Numero 53, 2025, Pagina/e 1399-1408, ISSN 0090-6964
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10439-025-03713-2

Boosting multiple sclerosis lesion segmentation through attention mechanism

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

Brokering responsible research and innovation in in silico medicine

Autori: Elisa Elhadj, Zita Van Horenbeeck, Elisa Lievevrouw, Ine Van Hoyweghen
Pubblicato in: Journal of Responsible Innovation, Numero 11, 2025, ISSN 2329-9460
Editore: Taylor & Francis
DOI: 10.1080/23299460.2024.2414484

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

Autori: Dongwei Ye; Pavel Zun; Valeria Krzhizhanovskaya; Alfons G. Hoekstra
Pubblicato in: Journal of the Royal Society Interface, 19(187):20210864. The Royal Society, Numero Volume 19Numero 187, 2022, ISSN 1742-5662
Editore: Royal Society
DOI: 10.1098/rsif.2021.0864

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

Autori: Marco Viceconti, Cristina Curreli, Francesca Bottin, Giorgio Davico
Pubblicato in: Annals of Biomedical Engineering, Numero 49, 2021, Pagina/e 3349-3355, ISSN 0090-6964
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10439-021-02795-y

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

Autori: 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
Pubblicato in: Cancers; Volume 14; Numero 9; Pages: 2231, Numero 10, 2022, ISSN 2072-6694
Editore: 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

Autori: Giacomo Savelli, Sara Oliviero, Antonino A. La Mattina, Marco Viceconti
Pubblicato in: Annals of Biomedical Engineering, 2024, ISSN 0090-6964
Editore: 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

Autori: Alessandra Aldieri, Riccardo Biondi, Antonino A. La Mattina, Julia A. Szyszko, Stefano Polizzi, Daniele Dall’Olio, Nico Curti, Gastone Castellani, Marco Viceconti
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: 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

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

Myobolica: A Stochastic Approach to Estimate Physiological Muscle Control Variability

Autori: Alex Bersani, Mercy Amankwah, Daniela Calvetti, Erkki Somersalo, Marco Viceconti, Giorgio Davico
Pubblicato in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numero 32, 2024, Pagina/e 3270-3277, ISSN 1534-4320
Editore: 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

Autori: M. Viceconti, M. De Vos, S. Mellone, L. Geris
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, Numero vol. 28, no. 1, pp. 491-501, Jan. 2024, 2024, ISSN 2168-2208
Editore: 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

Autori: 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
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, Numero Volume: 25 Numero: 10, 2021, ISSN 2168-2208
Editore: IEEE
DOI: 10.1109/jbhi.2021.3090469

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

Autori: 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
Pubblicato in: PLOS ONE, Numero 18, 2023, Pagina/e e0293456, ISSN 1932-6203
Editore: 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

Autori: 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
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, Numero Volume: 26, Numero: 11, 2022, Pagina/e 5282 - 5286, ISSN 2168-2208
Editore: IEEE
DOI: 10.1109/jbhi.2022.3198145

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

Autori: Raphaëlle Lesage; Michiel Van Oudheusden; Silvia Schievano; Ine Van Hoyweghen; Liesbet Geris; Claudio Capelli
Pubblicato in: Frontiers in Medical Technology, Numero Front. Med. Technol., Volume 5 - 2023, 2023, ISSN 2673-3129
Editore: 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

Autori: Valentina Di Salvatore, Elena Crispino, Avisa Maleki, Giulia Nicotra, Giulia Russo, Francesco Pappalardo
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 21, 2024, Pagina/e 3339-3354, ISSN 2001-0370
Editore: 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

Autori: Chiara Garavelli; Cristina Curreli; Marco Palanca; Alessandra Aldieri; Luca Cristofolini; Marco Viceconti
Pubblicato in: PLOS ONE, Numero September 9, 2022, 2022, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0272529

In Silico Trials: An updated SWOT Analysis

Autori: Viceconti, Marco
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/zenodo.14221258

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

Autori: Oliviero, Sara
Pubblicato in: ISW Zenodo repository, Numero 5, 2022
Editore: UNIBO
DOI: 10.5281/zenodo.7248963

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

Autori: Geris, Liesbet; Van Horenbeeck, Zita; Rangarajan, Janaki Raman; Biasin, Elisabetta; Van Hoyweghen, Ine; Viceconti, Marco
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/zenodo.14534366

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

Autori: Raphaelle Lesage; Michiel Van Oudheusden; Martina Contin; Silvia Schievano; Liesbet Geris; Claudio Capelli
Pubblicato in: ISW Zenodo Repository, Numero 6, 2022
Editore: VPHi KU Leuven
DOI: 10.5281/zenodo.7437507

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

Autori: Vander Linden, Klaas; Van Looy, Guy; Davico, Giorgio; Viceconti, Marco; Vander Sloten, Jos
Pubblicato in: Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8380239

The In Silico Medicine Info Kit - VPHi

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

REGULATORY BARRIERS TO THE ADOPTION OF IN SILICO TRIALS

Autori: Viceconti, Marco; Pappalardo, Francesco; Curreli, Cristina; Russo, Giulia; Aldieri, Alessandra
Pubblicato in: Numero 1, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10948477

BBCT-Hip Qualification advice with EMA - Public Domain Documents

Autori: Viceconti, Marco; Curreli, Cristina; Aldieri, Alessandra; Pappalardo, Francesco
Pubblicato in: Numero 2, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10938447

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

Autori: Viceconti, Marco
Pubblicato in: 2024
Editore: Not applicable
DOI: 10.5281/zenodo.14172843

UISS-TB Qualification advice with EMA - Public Domain Documents

Autori: Pappalardo, Francesco; Viceconti, Marco; Curreli, Cristina; Russo, Giulia
Pubblicato in: Numero 1, 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10939449

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

Autori: Vander Linden, Klaas; Van Looy, Guy; Davico, Giorgio; Viceconti, Marco; Vander Sloten, Jos
Pubblicato in: ISW Zenodo repository, 2023
Editore: KU Leuven
DOI: 10.5281/zenodo.10400657

Mapping the use of computer modelling and simulation in clinics

Autori: Raphaëlle; Michiel; Silvia; Ine; Claudio; Giulia; Martina; Roberta; Goran
Pubblicato in: ISW Zenodo Repository, Numero 7, 2023
Editore: VPHi
DOI: 10.5281/zenodo.7974392

Does interdisciplinary science truly exist?

Autori: Viceconti, Marco
Pubblicato in: 2024
Editore: 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."

Autori: Hilhorst, Pjotr L. J.; Wouw, van de, Bregje; Zając, Karol; Van 't Veer, Marcel; Tonino, Pim; van de Vosse, Frans; Huberts, Wouter
Pubblicato in: Numero 1, 2025
Editore: Zenodo
DOI: 10.5281/zenodo.14718147

Toward Good Simulation Practice

Autori: Marco Viceconti, Luca Emili
Pubblicato in: Synthesis Lectures on Biomedical Engineering, 2024, ISSN 1930-0328
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48284-7

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