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    UMBRELLA
    Unleashing a CoMprehensive, Holistic and Patient Centric Stroke Management for a Better, Rapid, AdvancEd and PersonaLised Stroke Diagnosis, TreAtment and Outcome Prediction

    Challenge

    UMBRELLA is a holistic approach to progress, reshape, and benchmark the overall stroke care pathway and set new and improved standards of care in terms of primary and secondary prevention, rapid access to treatments, early accurate diagnosis, stratification, management and real-time monitoring, therapeutic targets identification, and rehabilitation, recurrent stroke and related cardiovascular events. This innovative approach will transform healthcare systems by improving and harmonizing professionals' workflows in a more patient-centred, digitalized, and communicative manner. UMBRELLA aims to revolutionize stroke management by implementing a comprehensive approach that addresses gaps along the whole continuum of the stroke care pathway.

    Solution

    UMBRELLA will create a federated data platform (U-platform) where Real World Data (RWD)-based AI algorithms can be locally created and validated, to advance personalised diagnosis, risk prediction, and treatment decisions in the acute and post-acute phases of stroke. The algorithms will be then trained in a decentralized manner through a federated learning infrastructure (FL-platform), which preserve data security and privacy, avoiding data centralization or exchange across centres but fostering collective AI-models training. On the other hand, standardized stroke management protocols and procedures will be created and/or implemented across the participating centres, including the validated usage of advanced digital technologies as solutions to facilitate data collection, visualization, patient engagement, monitoring, outcomes integration, and decision-making across the whole stroke pathway.

    Objectives, Activities and Results expected / achieved

    Six specific objectives (OBs) have been defined to achieve the project's main goal. Specific Measures of Success (MoS) and Key Performance Indicators (KPIs) have been identified for each objective, which will be used to monitor and evaluate progress throughout the project duration.
    OB1. To integrate, harmonize and standardize in a federated manner local retrospective and prospective data collection, as well as stroke protocols and procedures across the whole stroke care pathway.
    OB2. To build and enhance a multi-country federated Real World Data (RWD) platform (U-platform) that allows the local creation and validation of trustworthy AI models to advance personalized stroke diagnosis, risk prediction, and decision-making.
    OB3. To implement and exploit a Federated Learning framework (FL-platform) that allows the training of the U-platform-AI models across various centres while preserving data security and privacy.
    OB4. To improve stroke patients’ outcomes and interoperable silos' communication with novel digital technologies for patients' engagement, real-time monitoring, data visualization, and decision-making.
    OB5. To develop a roadmap to regulatory compliance and future certification for the selected improved stroke cases' management and the UMBRELLA FL-platform.
    OB6. To develop a roadmap for the long-term sustainability and exploitation of UMBRELLA advancements in stroke care and a plan for dissemination.

    Project Reference

    Grant Agreemento No 101172825

    Funding


    Total Investment

    22.955.943,75

    IPN Investment

    67.750,00

    Total Eligible

    22.955.943,75

    IPN Eligible

    67.750,00

    EC Funding – Total

    14.791.678,93

    EC Funding – IPN

    67.750,00

    Duration

    60 Meses

    Start Date

    2024-10-01

    End Date

    2029-09-30

    Approval Date

    2024-02-23

    Consortium

    Fundacio hospital universitari vall d'hebron - institut de recerca
    Fondazione policlinico universitario agostino gemelli irccs
    Stichting amsterdam umc
    Erasmus universitair medisch centrum rotterdam
    Universitaetsklinikum hamburg-eppendorf
    Katholieke universiteit leuven
    Teamit research sl
    Teamit institute s l
    Organisation europeenne pour la recherche nucleaire
    Norahealth sl
    Stroke alliance for europe
    Eatris eric
    Fundacio institut d'investigacio biomedica de bellvitge
    Instituto pedro nunes associacao para a inovacao e desenvolvimento em ciencia e tecnologia
    Fundacio eurecat
    Nacar estudio sl
    Trianect bv
    Nico-lab bv
    Allm emea gmbh
    Siemens healthineers ag
    Philips medical systems nederland bv
    Philips france commercial
    Janssen cilag sa
    Neuravi limited
    Astrazeneca farmaceutica spain, s.a
    Daiichi sankyo espana sa
    Penumbra europe gmbh
    Universitat basel
    Universitatsspital basel
    Janssen research & development, llc
    Actelion pharmaceuticals ltd
    Siemens healthineers s.l.u
    Siemens healthcare sro
    Siemens healthcare private limited

    Website

    https://umbrella-ihi.eu/

    Keywords

    Artificial intelligence;
    Intelligent systems;
    Multi agent systems;
    Cardiovascular diseases;
    Clinical management;
    Diagnostics;
    Disease prevention;
    Health data;
    Stroke;
    Federated Learning;
    Risk stratification;
    Personalised medicine.
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