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 101172825Funding
Total Investment
22.955.943,75IPN Investment
67.750,00Total Eligible
22.955.943,75IPN Eligible
67.750,00EC Funding – Total
14.791.678,93EC Funding – IPN
67.750,00Duration
60 MesesStart Date
2024-10-01End Date
2029-09-30Approval Date
2024-02-23Consortium
Fundacio hospital universitari vall d'hebron - institut de recercaFondazione 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.
