euHeart

Cardiovascular disease (CVD) has a significant impact on the European society in terms of mortality, morbidity and allied healthcare costs. The opportunity of multi-scale modelling spanning, sub-cellular level up to whole heart is to improve CVD outcomes by providing a consistent, biophysically-based framework for the integration of the huge amount of fragmented and inhomogeneous data currently available. However, multi-scale models have not yet been translated into clinical environments mainly due to the difficulty of personalising biophysical models. The challenge of the euHeart project is to directly address this need by combining novel ICT technologies with integrative multi-scale computational models of the heart in clinical environments to improve diagnosis, treatment planning and interventions for CVD.

To meet this challenge we will bring together leading European physiological modelling and cardiac groups to develop, integrate and clinically validate patient-specific computational models of the cardiac physiology and disease-related processes. The main outcome of euHeart will be an open source framework for the description and representation of normal and pathological multi-scale and multi-physics cardiovascular models, using the international encoding standards. In addition, a library of innovative tools for the execution of the biophysical simulations, the personalisation of the models and the automated analysis of multi-modal images are developed.

Evidence of clinical benefit will be collected to quantify potential impact for a number of significant CVD's namely, heart failure, cardiac rhythm disorder, coronary artery disease and valvular and aortic diseases. Each of the selected clinical applications provides a complementary focus for the resulting integrated model of cardiac fluid-electro-mechanical function. The consortium contains a mix of academic leadership, clinical sites, and industrial partners ensuring exploitation of the wealth of models.

For further information, please visit:
http://www.euheart.org

Project co-ordinator:
Philips Technologie GmbH

Partners:

  • INRIA, Institut National de Recherche en Informatique et en Automatique
  • King's College London
  • Academisch Medisch Centrum bij de Universiteit van Amsterdam
  • Polydimensions GmbH
  • Universitat Pompeu Fabra
  • The University of Sheffield
  • Hospital Clinico San Carlos de Madrid Insalud
  • Philips Iberica S.A.
  • Institut National de la Santé et de la Recherche Médicale (INSERM)
  • Volcano Europe SA/NV
  • The Chancellor, Master and Scholars of the University of Oxford
  • HemoLab B.V.
  • Deutsche Krebsforschungszentrum (DKFZ)
  • Berlin Heart GmbH
  • Universität Karlsruhe (Technische Hochschule)
  • Philips Medical Systems Nederland BV

Timetable: from 06/2008 – to 05/2012

Total cost: € 19.053.465

EC funding: € 13.900.000

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Philips and Medtronic Advocacy Partnersh…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Medtronic Neurovascular, a leading innovator in neurovascular therapies, today announced a strategic advocacy partnership. Delivering timely stroke...

Wearable Cameras Allow AI to Detect Medi…

A team of researchers says it has developed the first wearable camera system that, with the help of artificial intelligence (AI), detects potential errors in medication delivery. In a test whose...

New AI Tool Predicts Protein-Protein Int…

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool...

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...