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Medical data sharing and synthetic clinical data generation – maximizing biomedical resource utilization and minimizing participant re-identification risks

Crossref DOI link: https://doi.org/10.1038/s41746-025-01935-1

Published Online: 2025-08-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Marino, Simeone

Cassidy, Ruth

Nanni, Joseph

Wang, Yuxuan

Liu, Yipeng

Tang, Mingyi

Yuan, Yuan

Chen, Toby

Sinha, Anik

Pandian, Balaji

Dinov, Ivo D.

Burns, Michael L.
Funding

Funding for this research was provided by:

NIH (R01MH126137, R41TR004515, T32GM141746, R01MH126137, R41TR004515, T32GM141746)

NSF (1916425, 1734853, 1636840, 1916425, 1734853, 1636840)
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Text and Data Mining valid from 2025-08-16

Version of Record valid from 2025-08-16
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Article History

Received: 7 March 2025

Accepted: 5 August 2025

First Online: 16 August 2025

Competing interests

: SM and ID developed the DataSifter statistical obfuscator technique, which is patented by the University of Michigan, and exclusively licensed to GrayRain. There is no funding support from this company.

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