project . 2021 - 2026 . On going

MAESTRIA

Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation

Open Access mandate for Publications and Research DataOpen Access mandate for ... European Commission

Funder: European CommissionProject code: 965286 Call for proposal: H2020-SC1-2020-Single-Stage-RTD
Funded under: H2020 | RIA Overall Budget: 14,520,300 EURFunder Contribution: 13,915,300 EUR
Status: On going
Start Date
01 Mar 2021
End Date
28 Feb 2026
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Description

Atrial fibrillation (AF) and stroke are major health care problems in Europe. They are most often the clinical expression of atrial cardiomyopathy, which is under-recognised due to the lack of specific diagnostic tools. Multidisciplinary research and stratified approaches are urgently needed to prevent, diagnose, and treat AF and stroke and preempt the AF-related threat to healthy ageing in Europe. MAESTRIA is a European consortium of 18 clinicians, scientists and Pharma industrials who are at the forefront of research and medical care of AF and stroke patients. It will create multi-parametric digital tools based on a new generation of biomarkers that integrate ...

Partners

CNIC, University of Birmingham, Essen University Hospital, OWKIN, UM, UOXF, Siemens Healthcare GmbH, THE GENERAL HOSPITAL CORPORATION, IMT TRANSFERT, YourRhythmics, PREVENTICUS GMBH, AFNET, PRES, IDOVEN 1903 SL, CENTRE INTEGRE UNIVERSITAIRE DE SANTE ET DE SERVICES SOCIAUX DE L ESTRIE-CENTRE HOSPITALIER UNIVERSITAIRE DE SHERBROOKE, UoA, AP-HP, CARISTO DIAGNOSTICS LIMITED

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