Objective
Affective and non-affective psychoses have a major negative impact on human society. They account for 6.3% of the global burden of disease and cost €207 billion per year in Europe alone, making them the most expensive brain-related disorders and even more expensive than cardiovascular diseases. This socioeconomic burden is largely caused by two core disease features: onset in adolescence and early adulthood and long-term disabling disease courses. Both factors lead to enduring social and vocational exclusion and contribute to 8-20 times higher suicide rates in affected patients.
Reliable and accessible prognostic tools will alleviate this burden by enabling individualised risk prediction, thus facilitating the targeted prevention of psychoses. Thus, we will first use routine brain imaging and complementary data to optimise our candidate biomarkers for the prediction and staging of psychoses and generate a prognostic system that generalises well across mental health services. Secondly, we will implement new multi-modal risk quantification tools to predict mental health-related disability in young help-seekers. The fusion of these tools with clinical knowledge will produce cybernetic prognostic services that accurately identify help-seekers at the highest risk of psychosis, poor functioning and suicide-related mortality.
During this project we will secure our intellectual property rights and transform into a European company to commercially exploit these prognostic services through internet-based telemedicine applications. This will provide psychosis risk profiling tools to diverse target groups in the healthcare markets, including care-givers, the pharmaceutical industry and research institutions. By disseminating objective risk quantification, these products will provide firm diagnostic grounds for preventive therapy, improving outcomes and reducing costs. Thus, they will offer a unique selling proposition to the mental health sectors in Europe and beyond.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences sociology demography mortality
- medical and health sciences clinical medicine cardiology cardiovascular diseases
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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-HEALTH-2013-INNOVATION-1
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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
80539 MUNCHEN
Germany
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Participants (17)
4051 Basel
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50937 Koeln
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B15 2TT Birmingham
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20014 Turku
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33100 Udine
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3010 Melbourne
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85748 GARCHING
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Participation ended
80333 Muenchen
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60313 Frankfurt Am Main
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42655 SOLINGEN
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20122 Milano
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75008 Paris
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48149 Muenster
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70121 Bari
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40225 Dusseldorf
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53127 Bonn
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80539 MUNCHEN
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