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CORDIS - Wyniki badań wspieranych przez UE
CORDIS

Personalized Phenotype of Atrial Fibrillation for Accurate Treatment

Cel

Atrial Fibrillation (AF) is the most common cardiac arrhythmia with an EU health cost of 13.5 billion annually. Despite the worsening that this cardiac arrhythmia provokes on the life quality of more than 6 million Europeans, AF therapies are suboptimal: success rate is below 60% including pharmacological and surgical approaches. AF is a multifactorial and progressive disease with high patient heterogeneity and therefore “the same treatment for all” is not optimal.
GUIDE-AF addresses this challenge by a multi-sectorial and multidisciplinary research and training program in novel technologies for the individualization of the AF phenotype with the aim to increase treatments’ efficiency. GUIDE-AF will integrate data and knowledge from anatomical, biological, biomechanical and electrophysiological approaches to generate an accurate description of the patient-specific disease phenotype. The effect of the different AF treatments will be described and quantified for each AF phenotype in order to provide the best therapy choice.
GUIDE-AF project will build a machine learning-based decision support system able to characterize the disease state and progression and able to predict the outcome of therapies. This algorithm will be based on technologies co-developed and validated by the candidate and the host and beneficiary research groups. GUIDE-AF will count with experts in cardiac arrhythmia management, AF characterization through image and signal analysis, basic and clinical research, as well as access to one of the largest AF patient database.
GUIDE-AF will have an eminently multidisciplinary and clinical approach and will focus on providing a feasible and implantable solution for increasing the therapy success and reducing human and health system costs. This proposal includes intensive training for the candidate in new advanced technologies for cardiac characterization and disease profiling, as well as knowledge transfer from and to the host and beneficiary institutions.

Dziedzina nauki (EuroSciVoc)

Słowa kluczowe

Program(-y)

Temat(-y)

System finansowania

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Wyświetl wszystkie projekty finansowane w ramach tego programu finansowania

Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) H2020-MSCA-IF-2020

Wyświetl wszystkie projekty finansowane w ramach tego zaproszenia

Koordynator

UNIVERSITAT DE VALENCIA
Wkład UE netto
€ 204 415,68
Adres
AVENIDA BLASCO IBANEZ 13
46010 Valencia
Hiszpania
Region
Este Comunitat Valenciana Valencia/València
Rodzaj działalności
Higher or Secondary Education Establishments
Linki
Koszt całkowity
€ 204 415,68

Partnerzy (1)