FEDANAL - Federated Analytics through Harmonization in National Breast Cancer Care

Software technology for federated analytics and federated learning enables data science while keeping data at the source—an approach offering significant privacy benefits in healthcare. Although the technology has matured, healthcare institutions have been slow to adopt it. The FEDANAL project aims to foster the transition to a federated approach to analytics, with a specific focus on breast cancer care. The project has delivered three key outputs:

• An article titled “The dual-bottleneck of federated analytics in breast cancer research: A systematic literature review,” submitted to the journal *PLOS Digital Health*.
• A project proposal titled “FABRIC: Federated Analytics Breast cancer Research InfrastruCture” with a budget of €1 million, submitted to the NWO Open Technology Programme (OTP) 2026.
• A broad consortium was assembled for this purpose, comprising UT, MU, UMCG, DICA, IKNL, DHD/PLUGIN, Santeon, ZGT, MST, and MDW.
  A proof-of-concept demonstrator of an analytics tool that answers a representative clinical analytical question using a federated approach based on data from DICA.

Organisations

This is our team

Organisation

Location

Phone

Mail

Maurice van Keulen

Adjunct Professor

EEMCS-CS-DMB

Zilverling 4061

m.vankeulen@utwente.nl

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