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

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...