Objective
The annual worldwide cost of Alzheimer’s dementia was 777.81 billion Euro in 2015. This number will rise to 7.41 trillion Euro in 2050. Early diagnosis would save up to $7.9 trillion in medical and care costs by 2050 in the US alone. However, the emergent pathology is highly variable across people, necehighly variable across people, necessitating individualized diagnostics and interventions. The VirtualBrainCloud addresses this by bridging the gap between computational neuroscience and subcellular systems biology, integrating both research streams into a unifying computational model that supports personalized diagnostics and treatments in NDD. TheVirtualBrainCloud not only integrates existing software tools, it also merges the efforts of two big EU initiatives, namely The Virtual Brain large scale simulation platform of the EU Flagship Human Brain Project and IMI-EPAD initiative (European prevention of Alzheimer’s dementia consortium). VirtualBrainCloud will develop and validate a decision support system that provides access to high quality multi-disciplinary data for clinical practice. The result will be a cloud-based brain simulation platform to support personalized diagnostics and treatments in NDD. The EU PRACE (Partnership for Advanced Computing in Europe) initiative, will provide the required computing infrastructure. The VirtualBrainCloud will develop robust solutions for legal and ethical matters by interacting with EU projects such as European Open Science Cloud (EOSC), ‘cloud4health’, Alzheimer’s Europe patient organizations and ELIXIR, an organization that manages and safeguards EU research data. Our software developers have already produced highly successful brain simulation and clinical decision support tools. The resulting software will be a cloud based computational modeling system that is tailored to the individual, and bridges multiple scales to identify key mechanisms that predict NDD progression and serves as Precision Decision Support System.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- medical and health sciencesbasic medicinepathology
- natural sciencesbiological sciencesneurobiologycomputational neuroscience
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Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
10117 Berlin
Germany
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Participants (19)
13284 Marseille
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75654 Paris
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
75794 Paris
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80686 Munchen
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OX1 2JD Oxford
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52428 Julich
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75013 Paris
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78153 Le Chesnay Cedex
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Participation ended
08028 Barcelona
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00014 HELSINGIN YLIOPISTO
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16126 Genova
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28040 Madrid
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70184 Stuttgart
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
400610 Cluj-Napoca
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08019 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1010 Wien
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10117 BERLIN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1736 SENNINGERBERG
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6525 XZ Nijmegen
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