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MARCIUS

Financiado

MARie Curie Intelligent UltraSound

Cardiovascular diseases (CVD) are the number one cause of death in EU. Echocardiography is the most important imaging tool to assess cardiac function, since it is real time, cost effective and can be performed without discomfort a... ver más

30/09/2023

UNIVERSITY OF SOUT...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITETET I SOROST-NORGE No se ha especificado una descripción o un objeto social para esta compañía.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-09-30

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

MSCA-ITN-2019: Innovative Training Networks

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9 Participantes

UNIVERSITY OF SOUTH-EASTERN...

584.68K€ | Lider

FRUTAS EL DULZE

INGENIA TECNOLOGIA

RIEGOS DE LEVANTE MURCIA

Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 51 meses Fecha Inicio: 2019-06-24
Fecha Fin: 2023-09-30

Presupuesto del proyecto 2M€

Descripción del proyecto Cardiovascular diseases (CVD) are the number one cause of death in EU. Echocardiography is the most important imaging tool to assess cardiac function, since it is real time, cost effective and can be performed without discomfort and harmful radiation. A typical cardiac ultrasound examination takes 30-40 min, with image analysis and reporting doubling this time. Thus, cardiologists are now calling for a step change in diagnostic speed and accuracy to allow significant improvements for the care of CVD patients. We propose to develop intelligent algorithms to provide diagnostic support by automatic interpretation of regional cardiac contraction patterns and myocardial image texture. MARCIUS will leverage recent progress in machine learning to train a neural network to recognize unique disease states using a large database of patient data with known pathophysiology and outcome augmented with virtual patient data obtained using a well-validated mathematical model of the heart and circulatory system in combination with a beyond the state-of-the-art ultrasound simulation tool. The resulting diagnostic algorithm will be validated clinically. MARCIUS will take on research activities with high added value, both clinically for patients suffering from cardiac diseases, commercially for the industrial beneficiary and societally with reducing healthcare costs. The long-term and high-risk aspect of these activities makes them unsuited for execution within a normal product development context. Through training and knowledge development in a focused research project built on a unique combination of state-of-the-art technologies, MARCIUS will provide Europe with researchers trained with the cross-disciplinary understanding and skills necessary to develop enabling technologies in an industrial and clinical setting. The longer-term outcome of the project is new products, which will benefit patients across Europe directly by advancing the state of care within cardiology.

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