HNN3.0

Project cooperationUpdated on 15 January 2026

Predicting stroke using behavioral biomarkers

Professor at Crowdsourced Health lab at Bar Ilan University

Ramat Gan, Israel

About

In past work we demonstrated that it is possible to derive biomarkers from online interactions with search engines and social media. These biomarkers can identify populations at-risk of stroke and can predict stroke several months before it occurs.

We would like to work towards integrating these biomarkers in clinical practice, by validating them in a clinical trial.

See: Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data

Topic

  • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health

Type

  • Partner seeks Consortium/Coordinator

Organisation

Similar opportunities

  • Project cooperation

    Cardiovascular disease, imaging, biomarkers, diagnosis and risk stratification, AI

    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways

    Gudrun Feuchtner

    Professor, Cardiovascular Imaging, MD, MBA at Innsbruck Medical University

    Innsbruck, Austria

  • Project cooperation

    AI-Based Automatic Dementia Detection

    • Partner seeks Consortium/Coordinator
    • DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
    • DESTINATION 4: HORIZON-HLTH-2026-01-CARE-01: Public procurement of innovative solutions for improving citizens' access to healthcare through integrated or personalised approaches
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-09: Multisectoral approach to tackle chronic non-communicable diseases: implementation research maximising collaboration and coordination with sectors and in settings beyond the healthcare system (GACD)

    Dávid Sztahó

    Research fellow at SMARTLABS LSA at Budapest University of Technology and Economics

    Budapest, Hungary

  • Project cooperation

    Sex-specific digital cardiovascular biomarkers from continuous wrist-worn ECG-equivalent and PPG monitoring for early CVD detection

    • Partner seeks Consortium/Coordinator
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways

    Kai Gand

    Grants Manager at Corsano Health

    The Hague, Netherlands