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

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...