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Personalized Recommendations for Neurodegenerative Disease

Personalized Recommendations for Neurodegenerative Disease

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.

Coordinator

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

Address

Chariteplatz 1
10117 Berlin

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 985 750

Participants (16)

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UNIVERSITE D'AIX MARSEILLE

France

EU Contribution

€ 1 107 093,10

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 1 868 750

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 462 430

FORSCHUNGSZENTRUM JULICH GMBH

Germany

EU Contribution

€ 3 736 728,74

INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE

France

EU Contribution

€ 1 188 750

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 324 435

FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYA

Spain

EU Contribution

€ 686 937,50

HELSINGIN YLIOPISTO

Finland

EU Contribution

€ 840 280

UNIVERSITA DEGLI STUDI DI GENOVA

Italy

EU Contribution

€ 425 091,25

UNIVERSIDAD COMPLUTENSE DE MADRID

Spain

EU Contribution

€ 396 250

CODEBOX COMPUTER-DIENSTE GMBH

Germany

EU Contribution

€ 217 750

CODEMART SRL

Romania

EU Contribution

€ 353 750

EODYNE SYSTEMS SL

Spain

EU Contribution

€ 407 500

UNIVERSITAT WIEN

Austria

EU Contribution

€ 462 097,50

TP21 GMBH

Germany

EU Contribution

€ 376 250

ALZHEIMER EUROPE

Luxembourg

EU Contribution

€ 176 500

Project information

Grant agreement ID: 826421

Status

Ongoing project

  • Start date

    1 December 2018

  • End date

    30 November 2022

Funded under:

H2020-EU.3.1.5.3.

  • Overall budget:

    € 15 016 343,10

  • EU contribution

    € 15 016 343,09

Coordinated by:

CHARITE - UNIVERSITAETSMEDIZIN BERLIN

Germany