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MAESTRIA H2020 18 partners with a strong focus
on clinical data integration
and artificial intelligence research
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MAESTRIA H2020 consortium close integration of academic
partners and industry partners
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Our objectives

 

Medical care of cardiac diseases needs to integrate more and more multiple parameters: functional and structural properties of cardiac tissues, genotype, metabolism or lifestyle. Multiple fields of expertise must be involved such as omics, biophysics of electrical signal, clinical imaging. Heterogeneous knowledge and data supporting complex and appropriate decisions to be taken by cardiologist clinicians for patient’s treatments; this new paradigm will revolutionise medical approaches and will durably impact the healthcare industry workflows starting from future emerging treatments to medical devices.

In Atrial Cardiomyopathy, characterised by a long period of clinically silent progression, and, most often, a dramatic acute clinical manifestation such as the new onset of symptomatic atrial fibrillation (AF), stroke or acute heart failure, the early detection of the disease and the recognition of precise underlying mechanisms are necessary for timely deployment of prevention strategies and personalised medical care.

The MAESTRIA project team focuses on developing novel approaches for timely detection of atrial myopathy to improve care management and identifying novel therapeutic targets for personalised medicine of AF and stroke. MAESTRIA addresses:

  • Highly personalised diagnosis by combining research results on genomic, inflammation and metabolic disorders; all involved in the progression of atrial cardiomyopathy, incorporating AF and stroke in a novel, holistic and multidisciplinary patient health pathway. MAESTRIA has the potential of preventing excess deaths, stroke, and disability in 1.5-2% of the European population, and 12-15% of Europe’s octogenarians.
  • Integration of data available from various sources by integrating mechanistic understanding of the cardiomyopathic substrate with cutting-edge imaging techniques, electrophysiological investigations and artificial intelligence approaches. Risk stratification in patients with AF will be refined, potential new therapeutic approaches to modify the natural history of AF and treatment rationalised.
  • Development and deployment of a clinically applicable digital diagnosis platform by contributing to the development of a precision medicine tool set for the contemporary management of AF and stroke across Europe and beyond. MAESTRIA will build an open-access digital platform for clinicians and patients in Europe to inform them about risk based on the outcome of our investigations.

 

The MAESTRIA project team aims to develop and validate the first integrative diagnostic digital platform for atrial cardiomyopathy diagnosis. This platform will be designed to provide support for improved diagnostic accuracy that increases effectiveness and efficiency of treatments, as well as prevention of the complications of atrial cardiomyopathy, such as atrial fibrillation and stroke.

Sorbonne Universié
Universitatsmedizin Essen
APHP - Assistance Publique des Hôpitaux de Paris
idoven
Institut Mines-Télécom
Caristo Diagnostics
CHUS - Centre de recherche
CNIC
Atrial Fibrillation NETwork
Massachusetts General Hospital
OWKIN
Preventicus - Rythm is life
Maastricht University