HNN3.0
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Project cooperationUpdated on 10 December 2025

Privacy preserving machine learning for Healthcare with end users

CEO / Head of research at Zentrix

Tallinn, Estonia

About

Federated Learning platform with cloud node infrastructure already running with existing hospitals. We could bring hospitals in the project. Sleep Stage Classification that can be accommodated for other domains, but is very relevant as potential use case for NCD, and other domains where sleep is critical indicator and could be used as basis for building new use cases.
Privacy preserving algorithms with AI/ML working on encrypted datasets.

Topic

  • DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
  • DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
  • DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
  • DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-05: Support for a multilateral initiative on climate change and health research
  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
  • DESTINATION 4: HORIZON-HLTH-2026-01-CARE-01: Public procurement of innovative solutions for improving citizens' access to healthcare through integrated or personalised approaches

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