ARTreat

ARTreat targets at providing a patient-specific computational model of the cardiovascular system, used to improve the quality of prediction for the atherosclerosis progression and propagation into life-threatening events that need to be treated accordingly.

ARTreat will provide a three-level patient model describing the 3d arterial tree anatomy, the patient-specific blood flow and blood particle dynamics and the biological processes that lead to the creation and progression of atherosclerotic plaques.

ARTreat will apply the developed patient-specific model on two main applications: the clinical decision support and the training. ARTreat will produce two decision support tools to assist clinical cardiologists into providing personalized treatment selection and real-time, on- the-fly advice during invasive interventions, such stent positioning. The aim is to minimize future therapy costs, by providing higher than even possible personalized treatment support. The same patient-specific model will also be used to develop a real-case simulator training, which will support realistic hands-on skill development training to clinical cardiologists.

Finally, ARTreat is coupled with advanced clinical support tools for plaque characterization, and the discovery of new knowledge; associations among heterogeneous data, that can improve the predictive power of the patient-model. It thus supports the medical expert into programming the accumulated knowledge into the existing model and generating an adaptive patient-specific computational tool. Key market players AGFA and SORIN will exploit the ARTreat applications to provide new sophisticated solutions to their product range, while all academic and IT company partners will accumulate significant experience on the new generation patient-specific healthcare services.

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

Project co-ordinator:
SWORD TECHNOLOGIES SA

Partners:

  • UNIVERZITET U KRAGUJEVCU
  • COMPUTER SHARING BUCURESTI SRL
  • TECHNOLOGICA EOOD
  • SAS SOFTWARE LIMITED
  • LANZA & THOMPSON INFORMATION TECHNOLOGY SRL
  • TECMIC-TECNOLOGIAS DE MICROELECTRONICA SA
  • FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
  • THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
  • ADVANCED SIMULATION AND DESIGN GMBH
  • UNIVERSITE PARIS DESCARTES
  • INTERCON SP. Z O.O.
  • EURO (PMS) LIMITED
  • SORIN BIOMEDICA CARDIO S.R.L.
  • AGFA HEALTHCARE N.V.
  • WORLD MATCH LIMITED
  • D.D. SYNERGY HELLAS ANONYMI EMPORIKI ETAIREIA PAROCHIS YPIRESION PLIROFORIKIS
  • CONSIGLIO NAZIONALE DELLE RICERCHE
  • UNIVERSITA DEGLI STUDI DI PARMA

Timetable: from 09/2008 –to 08/2011

Total cost: 10.520.000

EC funding: €7.650.000

Programme Acronym: FP7-ICT

Subprogramme Area: ICT-2007.5.3 Virtual physiological human

Contract type: Collaborative project (generic)

Related news article:

Most Popular Now

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Jane Stephenson Joins SPARK TSL as Chief…

Jane Stephenson has joined SPARK TSL as chief executive as the company looks to establish the benefits of SPARK Fusion with trusts looking for deployable solutions to improve productivity. Stephenson joins...

NIH-Developed AI Algorithm Successfully …

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials...

Heart Attacks could be Ruled Out Early w…

As many as 60% of people presenting to emergency departments around the world with heart attack symptoms could be safely sent home, many at earlier stages, with the support of...

Northern Ireland's Laboratory Servi…

The transformation of pathology services across Northern Ireland has achieved another milestone, with the completion of phase three of the CoreLIMS programme to deploy Clinisys WinPath to all five health...

MEDICA 2024 and COMPAMED 2024: Medical T…

11 - 14 November 2024, Düsseldorf, Germany. "Meet Health. Future. People." is MEDICA's campaign motto for the future in the new trade fair year 2025. The aptness of the motto...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...