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

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...

Think You're Funny? ChatGPT might b…

A study comparing jokes by people versus those told by ChatGPT shows that humans need to work on their material. The research team behind the study published on Wednesday, July 3...

Innovative, Highly Accurate AI Model can…

If there is one medical exam that everyone in the world has taken, it's a chest x-ray. Clinicians can use radiographs to tell if someone has tuberculosis, lung cancer, or...

New AI Approach Optimizes Antibody Drugs

Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids -...

AI Speeds Up Heart Scans, Saving Doctors…

Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence (AI), which could save valuable NHS time and resources, as well as improve...

Researchers Customize AI Tools for Digit…

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology - a rapidly growing field...

Young People Believe that AI is a Valuab…

Children and young people are generally positive about artificial intelligence (AI) and think it should be used in modern healthcare, finds the first-of-its-kind survey led by UCL and Great Ormond...