VPH2

Heart failure accounts for almost a quarter of all admissions to hospital for cardiovascular events, has a high mortality (median survival around 18 months), and places a great burden on all healthcare systems, with estimated direct costs of £905m (1350m) in the United Kingdom in 2000, 2% of total NHS expenditure.

Virtual pathological heart of the virtual physiological human (VPH2) project aims to develop a patient-specific computational modelling and simulation of the human heart to assist the cardiologist and the cardiac surgeon in defining the severity and extent of disease in patients with post-ischemic Left Ventricular Dysfunction (LVD), with or without ischemic mitral regurgitation (IMR). Specific computational methods will allow clinical decision making and planning of the optimal treatment for left ventricle-valve repair. The goal is not only to deploy a fully validated technology to partner clinical institutions, but also to develop a sustainable business model associated to it.

The associated technological aim of the project is to deliver the most advanced software application framework for the development of computer-aided medicine in cardiology and cardiac surgery available in the world, going beyond the state of the art of available models.

This goal will be achieved by integrating some of the leading Open Source software in the area of computer-aided medicine and of computational bioengineering. This framework will be used by VPH2 to realise its objectives, but also by any other future project (academic or industrial) aiming to improve or extend VPH2 objectives.

For further information, please visit:
http://www.vph2.eu

Project co-ordinator:
GMD - Gesellschaft für Medizinische Datenverarbeitung mbH

Partners:

  • Intercon Sp. Z o.o. (Poland)
  • Euro PMS ltd (United Kingdom)
  • Sorin Biomedica Cardio S.r.l. (Italy)
  • SCS S.r.l. (Italy)
  • EREYNITIKO AKADIMAIKO INSTITOUTO TECHNOLOGIAS YPOLOGISTON (Greece)
  • Westfälische Wilhelms-Universität Münster (Germany)
  • PATMOS S.r.l. (Italy)
  • Aminio AB (Sweden)
  • Ecole Polytechnique Fédérale de Lausanne (Switzerland)
  • University of Bedfordshire (United Kingdom)
  • Regione Lombardia (Italy)
  • Quality & Reliability S.A (Greece)

Timetable: from 07/2008 - to 06/2011

Total cost: € 5.180.000

EC funding: € 3.780.000

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

AI Tool Helps Predict Relapse of Pediatr…

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve...

Detecting Lung Cancer 4 Months Earlier a…

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier than is currently the case. The GP should be able...

An AI Tool Grounded in Evidence-Based Me…

A powerful clinical artificial intelligence tool developed by University at Buffalo biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step...

Infectious Disease Surveillance Platform…

The Biothreats Emergence, Analysis and Communications Network (BEACON) leverages advanced artificial intelligence (AI), large language models (LLMs) and a network of globally based experts to rapidly collect, analyze, and disseminate...

Right Patient, Right Dose, Right Time

While artificial intelligence (AI) has shown promising potential, much of its use has remained theoretical or retrospective. Turning its potential into real-world healthcare outcomes, researchers at the Yong Loo Lin...

AI-Powered Analysis of Stent Healing

Each year, more than three million people worldwide are treated with stents to open blocked blood vessels caused by heart disease. However, monitoring the healing process after implantation remains a...

Children's Health Ireland to Transf…

Healthcare teams responsible for paediatric care in Ireland are to save significant time in accessing important diagnostic imaging and reports, with the help of a new agreement with medical imaging...