Privacy-by-Design Approach to Generate Two Virtual Clinical Trials for Multiple Sclerosis and Release Them as Open Datasets: Evaluation Study
Generating synthetic RCT datasets replicating primary and secondary efficacy end points is possible while achieving a satisfactory and explicit level of privacy. To show the potential of this method to unlock health data sharing, we released both placebo arms as open datasets.
Authors
- Jerome De Seze (ORCID: https://orcid.org/0000-0002-7197-7578)
- Morgan Guillaudeux (ORCID: https://orcid.org/0000-0002-6182-2193)
- Igor Faddeenkov (ORCID: https://orcid.org/0000-0001-5735-0173)
- Pierre‐Antoine Gourraud (ORCID: https://orcid.org/0000-0003-1131-9554)
- Stanislas Demuth (ORCID: https://orcid.org/0000-0002-2504-5294)
- David Axel Laplaud (ORCID: https://orcid.org/0000-0001-6113-6938)
- Olivia Rousseau (ORCID: https://orcid.org/0000-0002-5726-9620)
- Gilles Edan (ORCID: https://orcid.org/0000-0002-9641-6734)
- Alban-Félix Barreteau (ORCID: https://orcid.org/0009-0000-2625-4103)
- Béatrice Baciotti
- Marianne Payet
- Joseph M. Paris (ORCID: https://orcid.org/0009-0000-6148-4676)
Institutions
- Inserm (FR)
- Centre Hospitalier Universitaire de Nantes (FR)
- Merck Serono S.A.S. (France) (FR)
- Institut de Transplantation Urologie en Nephrologie (FR)
- Merck Serono S.A. (Switzerland) (CH)
- BIO Intelligence Service (France) (FR)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Strasbourg (FR)
- Nantes Université (FR)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.2196/71297
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00