Project description
Virtual Physiological Human
The DementiA Research Enabled by IT project responds to the European Parliament's 2011 resolution for a European Initiative on Alzheimer's disease and other dementias, and the EU Year of the Brain 2014 Initiative. It delivers the first patient-specific predictive models for early differential diagnosis of dementias and their evolution. Its mechanistic/phenomenological models of the ageing brain account simultaneously for the patient-specific multiscale biochemical, metabolic and biomechanical brain substrate, as well as for genetic, clinical, demographic and lifestyle determinants. It investigates the effect of metabolic syndrome, diabetes, diets, exercise, and pulmonary conditions on the ageing brain, as environmental factors influencing onset and evolution of dementias.
An integrated clinical decision support platform will be validated/ tested by access to a dozen databases of international cross-sectional and longitudinal studies, including exclusive access to a population study that has tracked brain ageing in more than 10,000 individuals for over 20 years (Rotterdam Study).
Enabling more objective, earlier, predictive and individualised diagnosis and prognosis of dementias will support health systems worldwide to cope with the burden of 36M patients that, due to ageing societies, will increase to 115M by 2050. Worldwide costs are estimated to €450B annually. In 2012, the WHO declared dementia a global health priority.
Our consortium assembles highly recognised engineering, physical, biomedical and clinical scientists, and industrial partners experienced in exploiting VPH technologies in healthcare. Co-operation with infrastructure projects like VPH-Share, related international Physiome efforts, and other dementia research consortia is assured, allowing European researchers from different disciplines to contribute to share resources, methods and generate new knowledge.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine neurology dementia alzheimer
- natural sciences computer and information sciences databases
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences health sciences nutrition
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2011-9
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
S10 2TN SHEFFIELD
United Kingdom
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Participants (23)
1010 Wien
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8008 ZURICH
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8092 Zuerich
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18059 ROSTOCK
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22335 Hamburg
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20099 HAMBURG
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53111 BONN
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02150 Espoo
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33100 Tampere
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02044 VTT ESPOO
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70211 KUOPIO
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92220 BAGNEUX
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30126 VENEZIA
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6200 MD Maastricht
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5684 PC BEST
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3015 GD Rotterdam
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0313 Oslo
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4200-465 PORTO
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SW7 2AZ London
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WC2R 2LS London
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S10 2SB Sheffield
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Participation ended
OX1 2JD Oxford
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WC1E 6BT LONDON
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