INNOVATIVE APPLICATIONS OF ASSESSMENT AND ASSURANCE OF DATA AND SYNTHETIC DATA FOR REGULATORY DECISION SUPPORT

Project Information

INSAFEDARE

Grant agreement ID: 101095661

DOI

10.3030/101095661

EC signature date 8 November 2023

Start date 1 November 2023

End date 31 October 2026

Funded under

• Health

Total cost

€ 2 855 645,00

EU contribution

€ 2 855 645,00

Coordinated by

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

Project website

Project website.

Other (1)

Data Integration Pipeline Tools

Data Integration Pipeline Tools.

Documents, reports (1)

Literature review and classification of digital health applications

Literature review and classification of digital health applications.

Publications

Conference proceedings (5)

INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support

Author(s): Parisis Gallos, Nicholas Matragkas, Saif ul Islam, Gregory Epiphaniou, Scott Hansen, Stuart Harrison, Bram van Dijk, Marcel Haas, Giorgos Pappous, Simon Brouwer, Francesco Torlontano, Saadullah Farooq Abbasi, Omid Pournik, James Churm, John Mantas, Carlos Luis Parra-Calderón, Dimitrios Petkousis, Patrick Weber, Benjamin Dzingina, Chokri Mraidha, Carsten Maple, Jim Achterberg, Marco Spruit, Evi Saratsioti, Younes Moustaghfir, Theodoros N. Arvanitis
Published in: Studies in Health Technology and Informatics, Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Publisher: IOS Press
DOI: 10.3233/SHTI240624

A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications

Author(s): Bram van Dijk; Saif ul Islam; Jim Achterberg; Hafiz Muhammad Waseem; Parisis Gallos; Gregory Epiphaniou; Carsten Maple; Marcel Haas; Marco Spruit
Published in: Studies in Health Technology and Informatics ISBN: 9781643685540, 2024
Publisher: IOS Press
DOI: 10.48550/ARXIV.2409.00701

Preliminary Results on Improved Synthetic Image Generation for Melanoma Skin Cancer

Author(s): Saadullah Farooq Abbasi, Muhammad Bilal, Teesta Mukherjee, Saif ul Islam, Omid Pournik, Theodoros N. Arvanitis
Published in: Studies in Health Technology and Informatics, Envisioning the Future of Health Informatics and Digital Health, 2025
Publisher: IOS Press
DOI: 10.3233/SHTI250081

Characterizing a Framework for Assessment of the Use of FAIR Principles for Health Data in Digital Health Devices Regulation

Author(s): Carlos Luis Parra-Calderón, Giulia Finocchiaro, Saif ul Islam, Stuart Harrison, Gregory Epiphaniou, Carsten Maple, Parisis Gallos
Published in: Studies in Health Technology and Informatics, Envisioning the Future of Health Informatics and Digital Health, 2025
Publisher: IOS Press
DOI: 10.3233/SHTI250093

Deep Learning-Based Synthetic Skin Lesion Image Classification

Author(s): Saadullah Farooq Abbasi, Muhammad Bilal, Teesta Mukherjee, James Churm, Omid Pournik, Gregory Epiphaniou, Theodoros N. Arvanitis
Published in: Studies in Health Technology and Informatics, Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Publisher: IOS Press
DOI: 10.3233/SHTI240612

Peer reviewed articles (1)

Fidelity-agnostic synthetic data generation improves utility while retaining privacy

Author(s): Jim Achterberg, Marcel Haas, Bram van Dijk, Marco Spruit
Published in: Patterns, 2025, ISSN 2666-3899
Publisher: Elsevier BV
DOI: 10.1016/J.PATTER.2025.101287