HNN3.0

Project cooperationUpdated on 26 November 2025

AI supporting Bio-Behavioural Change, with multimodal data

Leader and Founder of Biomedical Signal Processing and AI for healthcare Group at SUPSI

Lugano, Switzerland

About

In various project we have built algorithms capable of analysing longitudinal data and support personalised intervention. Our algorithms can help you in supporting several use case :

  • Promote a better lifestyle, i.e. walking more

  • Increase rehab programs adherence

  • Prevent diseases, measure risk, idetifying a change in behaviour trends

  • Identify unusual changes (i.e. measured with urine sensor/smartwatches/dyabetes sensors/etc.) in connection with behaviour changes.

Looking for your use case and your questions!

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-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways

Type

  • Partner seeks Consortium/Coordinator

Organisation

SUPSI

University

Lugano, Switzerland

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