MAESTRIA - AL in Stroke and AF
Research type
Research Study
Full title
Machine Learning and Artificial Intelligence for Early Detection of Stroke and Atrial Fibrillation (MAESTRIA)
IRAS ID
319542
Contact name
Charalambos Antoniades
Contact email
Sponsor organisation
MAESTRIA AF NET
Clinicaltrials.gov Identifier
965286, Grant ID
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
MAESTRIA is a European consortium of 18 clinicians, scientists and pharma industry partners who are at the forefront of research and medical care of atrial fibrillation and stroke patients funded by the EU Horizon 2020 programme (grant number 965286). The Atrial Fibrillation Network (AFNET) is one of the 18 partner institutions in this European consortium.
MAESTRIA will create multi-parametric digital tools based on a new generation of biomarkers that integrate artificial intelligence (AI) processing and big data from cutting edge imaging, electrocardiography and omics technologies. It will develop novel biomarkers, diagnostic tools and personalized therapies for atrial cardiomyopathy.
The MAESTRIA-AFNET 10 Study (the study of this application) is an integral part of the MAESTRIA project.
The study will collect relevant clinical parameters for AF from patients, this includes ECGs, cardiac CTs, MRIs and echocardiograms. Dedicated core labs will collect and homogenize the clinical data. For atrial arrhythmias (AA) and vascular stiffness index (VSI) recording, patients will be provided with a measuring bracelet for continuous monitoring of heart rhythm with a photoplethysmographic (PPG) sensor coupled with a smartphone app and the Preventicus Heartbeats® analytic service (Class IIa, CE marked), approved as consumer device. Preventicus is ISO 13485 certified.REC name
East of England - Cambridge Central Research Ethics Committee
REC reference
23/EE/0086
Date of REC Opinion
17 Aug 2023
REC opinion
Further Information Favourable Opinion