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

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Report on publication of validation collections

The document will report on the production of new validation collections (DPValid and MSValid). Tools for the generation of synthetic data collections that contain virtual patients will be described. Uncertainty in input and known limits in output as well as hybrid models will be designated. Regulatory procedures that can restrict publishing of these synthetic data collections will be defined in collaboration with WP4. The three final collections (DPValid, MSValid, and ValveValid) will be published and described in the report.

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.

Efficiency recovery strategies report

The report on possible further optimization strategies both in the code itself (better utilization of the resources) and infrastructures (better scheduling, utilization of low-cost cloud instances), as well as means to detect inefficiencies through benchmarking and monitoring systems.

Final report on the qualification activities

D4.4 will report the work conducted by partners UNICT and MIM together with the developers of deep modelling track solutions. It will provide the ways to devise possible qualification strategies, to be implemented by the partners developing the solutions after the end of the project.

Implementation guidance and guidelines

D9.3 reports on the implementation of the requirements identified in D9.1 and D9.2.

Final report on Advanced solutions

Report describing final versions of modelling track solutions.

Report on Persistence of ISW resources

The report will describe the solutions adopted to maintain the resources produced during the ISW project accessible to the community (commercially or not) after the end of the project, once the EC funding is over.

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

Scalability strategies report

Summary of all scalability strategies adopted for the ISW including deployment of tools such as the Model Execution Environment to manage the wide range of available resources and results of those actions.

Validation and recommendations for lawmakers and policymakers

D9.4 comprises a legal evaluation report assessing the effectiveness of the legal guidelines and provides recommendations to remedy regulatory, legal and policy-related barriers identified throughout the project.

Report on training the IST workforce

This report will first list the characteristics of each of the course modules that are developed in order to target the different user categories. A second part will elaborate on the testing methods to evaluate the impact on the learning in the test groups. Finally, the results of the assessment will be summarized

Guideline on model's credibility standards

D4.1 will report the ISW consortium activity towards the extension of standardisation needed to use AMS VV40-2018 in Europe. The final guideline that helps companies active in this field to choose the best qualification pathway will be included in the D4.1

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.

Information Package and Lecturing Materials

This deliverable will contain information packages for specific groups of healthcare professionals (based on policy brief), to be delivered at tailored events in all hospitals linked to our consortium, but also to relevant medical conferences. In addition, it will contain lecture materials specifically tailored for medical and allied professions students will be developed, to be delivered in all health teaching programmes linked to the ISW consortium. After some early testing in these restricted audiences, and where necessary some revisions, the Information Package and Lecturing Materials will be made publicly available by M42

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.

ISW online Community of Practice and GSP consensus

The ISW consortium will create public channels for each of the six identified barriers to adoption we identified and will invite all members of our consortium to post regular updates on it. ISW_CoP will also host the consensus process on the so-called Good Simulation Practices (GSP) promoted by a group of organisations including the Avicenna Alliance, the US FDA, the MDIC and others. By the end of the project, the ISW_CoP is expected to become a self-sustainable entity self-managed by its own members.

White paper on Policies

This white paper will discuss examples of how in silico technologies can help, through inclusion in health-related policies, to balance the need for better cures with that of safe products. The white paper will discuss policies where in silico tools have already been included and will list all existing relevant policies were in silico could be added to support the wider adoption of In Silico Trials. The white paper should be published by M48.

SWOT analysis process

This report will provide guidance to industrial decision-makers on how to perform to conduct a Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis on the adoption of In Silico Trials technologies in their company. During the annual International School on In Silico Trials, geared towards these industry decision-makers without a specific technical background, they will be trained by an international faculty on the execution of this SWOT analysis process. The guidance will be made publically available by M48.

Open Source software for rule-based data sharing

The demonstration of the Open Sourced software developed in the scope of the project, enabling secure sharing and management of access to the data sets required for the large-scale computations using the Project models.

Veröffentlichungen

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

Autoren: Pjotr Hilhorst
Veröffentlicht in: ISW Zenodo Repository, Ausgabe 3, 2022
Herausgeber: UvA
DOI: 10.5281/zenodo.7225277

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

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

Serverless Approach to Sensitivity Analysis of Computational Models

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

Autoren: Benjamin Csippa, Levente Sándor, Gábor Závodszky, István Szikora, György Paál
Veröffentlicht in: Clinical Neuroradiology, Ausgabe 34, 2024, Seite(n) 675-684, ISSN 1869-1439
Herausgeber: Springer Nature
DOI: 10.1007/s00062-024-01404-4

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

Autoren: Francesca Bottin, Marco Viceconti, Giorgio Davico
Veröffentlicht in: Applied Sciences, Ausgabe 14, 2024, Seite(n) 8678, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app14198678

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

Autoren: 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
Veröffentlicht in: CPT: Pharmacometrics & Systems Pharmacology, 2021, ISSN 2163-8306
Herausgeber: Nature Publishing Group
DOI: 10.1002/psp4.12669

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

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

Variability of intervertebral joint stiffness between specimens and spine levels

Autoren: Samuele L. Gould, Giorgio Davico, Christian Liebsch, Hans-Joachim Wilke, Luca Cristofolini, Marco Viceconti
Veröffentlicht in: Frontiers in Bioengineering and Biotechnology, Ausgabe 12, 2024, ISSN 2296-4185
Herausgeber: 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

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

Autoren: Avisa Maleki, Elena Crispino, Serena Anna Italia, Valentina Di Salvatore, Maria Assunta Chiacchio, Fianne Sips, Roberta Bursi, Giulia Russo, Davide Maimone, Francesco Pappalardo
Veröffentlicht in: Computational and Structural Biotechnology Journal, Ausgabe 21, 2024, Seite(n) 3081-3090, ISSN 2001-0370
Herausgeber: 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

Autoren: Alessandra Aldieri, Cristina Curreli, Julia Aleksandra Szyszko, Antonino Amedeo La Mattina, Marco Viceconti
Veröffentlicht in: Computer Methods and Programs in Biomedicine, Ausgabe 240, 2024, Seite(n) 107727, ISSN 0169-2607
Herausgeber: 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

Autoren: Cristina Curreli; Valentina Di Salvatore; Giulia Russo; Francesco Pappalardo; Marco Viceconti
Veröffentlicht in: Annals of Biomedical Engineering, Ausgabe Ann Biomed Eng volume 51, 2023, Seite(n) 200–210, ISSN 1573-9686
Herausgeber: 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

Autoren: Julia A. Szyszko, Alessandra Aldieri, Antonino A. La Mattina, Marco Viceconti
Veröffentlicht in: PLOS ONE, Ausgabe 19, 2024, Seite(n) e0305474, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0305474

The impact of clot permeability on platelet fluxes toward its surface

Autoren: Niksa Mohammadi Bagheri, Gabor Závodszky, Alfons G Hoekstra
Veröffentlicht in: PLOS ONE, Ausgabe 20, 2025, Seite(n) e0317828, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0317828

Calibration of Aseptic Loosening Simulation for Coatings Osteoinductive Effect

Autoren: Sofia Baroni, Sara Oliviero, Antonino Amedeo La Mattina, Melania Maglio, Lucia Martini, Milena Fini, Marco Viceconti
Veröffentlicht in: Annals of Biomedical Engineering, Ausgabe 53, 2025, Seite(n) 34-47, ISSN 0090-6964
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10439-024-03588-9

Consensus statement on the credibility assessment of machine learning predictors

Autoren: Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina, Axel Loewe, Francesco Pappalardo, Marco Viceconti
Veröffentlicht in: Briefings in Bioinformatics, Ausgabe 26, 2025, ISSN 1467-5463
Herausgeber: 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

Autoren: Chiara Garavelli, Alessandra Aldieri, Marco Palanca, Enrico Dall’Ara, Marco Viceconti
Veröffentlicht in: Biomechanics and Modeling in Mechanobiology, Ausgabe 24, 2025, Seite(n) 1017-1030, ISSN 1617-7959
Herausgeber: Springer Verlag
DOI: 10.1007/s10237-025-01950-x

Efficient sensitivity analysis for biomechanical models with correlated inputs

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

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

Autoren: Maila Petrucci, Antonino A. La Mattina, Cristina Curreli, Enrico Tassinari, Marco Viceconti
Veröffentlicht in: Medical Engineering & Physics, Ausgabe 135, 2025, Seite(n) 104274, ISSN 1350-4533
Herausgeber: Elsevier BV
DOI: 10.1016/j.medengphy.2024.104274

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

Autoren: Salome Kakhaia; Pavel Zun; Dongwei Ye; Valeria Krzhizhanovskaya
Veröffentlicht in: Reliability Engineering & System Safety, Ausgabe Volume 238, October 2023, 109393, 2023, ISSN 0951-8320
Herausgeber: 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

Autoren: Domitille Princelle, Giorgio Davico, Marco Viceconti
Veröffentlicht in: Journal of Biomechanics, Ausgabe 159, 2024, Seite(n) 111758, ISSN 0021-9290
Herausgeber: 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

Autoren: Xiaoshu Sun, Cristina Curreli, Marco Viceconti
Veröffentlicht in: Applied Sciences, Ausgabe 14, 2024, Seite(n) 3200, ISSN 2076-3417
Herausgeber: mdpi
DOI: 10.3390/app14083200

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

Autoren: Samuele L. Gould, Giorgio Davico, Marco Palanca, Marco Viceconti, Luca Cristofolini
Veröffentlicht in: Frontiers in Bioengineering and Biotechnology, Ausgabe 12, 2024, ISSN 2296-4185
Herausgeber: Frontiers
DOI: 10.3389/fbioe.2024.1304334

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

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

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

Autoren: Sara Oliviero, Antonino A. La Mattina, Giacomo Savelli, Marco Viceconti
Veröffentlicht in: Journal of Biomechanics, Ausgabe 176, 2024, Seite(n) 112335, ISSN 0021-9290
Herausgeber: 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

Autoren: Domitille Princelle, Marco Viceconti, Giorgio Davico
Veröffentlicht in: Annals of Biomedical Engineering, Ausgabe 53, 2025, Seite(n) 1399-1408, ISSN 0090-6964
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10439-025-03713-2

Boosting multiple sclerosis lesion segmentation through attention mechanism

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

Brokering responsible research and innovation in in silico medicine

Autoren: Elisa Elhadj, Zita Van Horenbeeck, Elisa Lievevrouw, Ine Van Hoyweghen
Veröffentlicht in: Journal of Responsible Innovation, Ausgabe 11, 2025, ISSN 2329-9460
Herausgeber: Taylor & Francis
DOI: 10.1080/23299460.2024.2414484

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

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

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

Autoren: Marco Viceconti, Cristina Curreli, Francesca Bottin, Giorgio Davico
Veröffentlicht in: Annals of Biomedical Engineering, Ausgabe 49, 2021, Seite(n) 3349-3355, ISSN 0090-6964
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10439-021-02795-y

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

Autoren: 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
Veröffentlicht in: Cancers; Volume 14; Ausgabe 9; Pages: 2231, Ausgabe 10, 2022, ISSN 2072-6694
Herausgeber: 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

Autoren: Giacomo Savelli, Sara Oliviero, Antonino A. La Mattina, Marco Viceconti
Veröffentlicht in: Annals of Biomedical Engineering, 2024, ISSN 0090-6964
Herausgeber: 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

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

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

Myobolica: A Stochastic Approach to Estimate Physiological Muscle Control Variability

Autoren: Alex Bersani, Mercy Amankwah, Daniela Calvetti, Erkki Somersalo, Marco Viceconti, Giorgio Davico
Veröffentlicht in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Ausgabe 32, 2024, Seite(n) 3270-3277, ISSN 1534-4320
Herausgeber: 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

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

Autoren: 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
Veröffentlicht in: IEEE Journal of Biomedical and Health Informatics, Ausgabe Volume: 25 Ausgabe: 10, 2021, ISSN 2168-2208
Herausgeber: IEEE
DOI: 10.1109/jbhi.2021.3090469

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

Autoren: 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
Veröffentlicht in: PLOS ONE, Ausgabe 18, 2023, Seite(n) e0293456, ISSN 1932-6203
Herausgeber: 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

Autoren: 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
Veröffentlicht in: IEEE Journal of Biomedical and Health Informatics, Ausgabe Volume: 26, Ausgabe: 11, 2022, Seite(n) 5282 - 5286, ISSN 2168-2208
Herausgeber: IEEE
DOI: 10.1109/jbhi.2022.3198145

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

Autoren: Raphaëlle Lesage; Michiel Van Oudheusden; Silvia Schievano; Ine Van Hoyweghen; Liesbet Geris; Claudio Capelli
Veröffentlicht in: Frontiers in Medical Technology, Ausgabe Front. Med. Technol., Volume 5 - 2023, 2023, ISSN 2673-3129
Herausgeber: 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

Autoren: Valentina Di Salvatore, Elena Crispino, Avisa Maleki, Giulia Nicotra, Giulia Russo, Francesco Pappalardo
Veröffentlicht in: Computational and Structural Biotechnology Journal, Ausgabe 21, 2024, Seite(n) 3339-3354, ISSN 2001-0370
Herausgeber: 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

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

In Silico Trials: An updated SWOT Analysis

Autoren: Viceconti, Marco
Veröffentlicht in: 2024
Herausgeber: Zenodo
DOI: 10.5281/zenodo.14221258

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

Autoren: Oliviero, Sara
Veröffentlicht in: ISW Zenodo repository, Ausgabe 5, 2022
Herausgeber: UNIBO
DOI: 10.5281/zenodo.7248963

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

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

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

Autoren: Raphaelle Lesage; Michiel Van Oudheusden; Martina Contin; Silvia Schievano; Liesbet Geris; Claudio Capelli
Veröffentlicht in: ISW Zenodo Repository, Ausgabe 6, 2022
Herausgeber: VPHi KU Leuven
DOI: 10.5281/zenodo.7437507

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

Autoren: Vander Linden, Klaas; Van Looy, Guy; Davico, Giorgio; Viceconti, Marco; Vander Sloten, Jos
Veröffentlicht in: Ausgabe 1, 2023
Herausgeber: Zenodo
DOI: 10.5281/zenodo.8380239

The In Silico Medicine Info Kit - VPHi

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

REGULATORY BARRIERS TO THE ADOPTION OF IN SILICO TRIALS

Autoren: Viceconti, Marco; Pappalardo, Francesco; Curreli, Cristina; Russo, Giulia; Aldieri, Alessandra
Veröffentlicht in: Ausgabe 1, 2024
Herausgeber: Zenodo
DOI: 10.5281/zenodo.10948477

BBCT-Hip Qualification advice with EMA - Public Domain Documents

Autoren: Viceconti, Marco; Curreli, Cristina; Aldieri, Alessandra; Pappalardo, Francesco
Veröffentlicht in: Ausgabe 2, 2024
Herausgeber: Zenodo
DOI: 10.5281/zenodo.10938447

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

Autoren: Viceconti, Marco
Veröffentlicht in: 2024
Herausgeber: Not applicable
DOI: 10.5281/zenodo.14172843

UISS-TB Qualification advice with EMA - Public Domain Documents

Autoren: Pappalardo, Francesco; Viceconti, Marco; Curreli, Cristina; Russo, Giulia
Veröffentlicht in: Ausgabe 1, 2024
Herausgeber: Zenodo
DOI: 10.5281/zenodo.10939449

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

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

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Autoren: Raphaëlle; Michiel; Silvia; Ine; Claudio; Giulia; Martina; Roberta; Goran
Veröffentlicht in: ISW Zenodo Repository, Ausgabe 7, 2023
Herausgeber: VPHi
DOI: 10.5281/zenodo.7974392

Does interdisciplinary science truly exist?

Autoren: Viceconti, Marco
Veröffentlicht in: 2024
Herausgeber: 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."

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

Toward Good Simulation Practice

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

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