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Data-driven models for Progression Of Neurological Disease

Objective

EuroPOND will develop a data-driven statistical and computational modeling framework for neurological disease progression. This will enable major advances in differential and personalized diagnosis, prognosis, monitoring, and treatment and care decisions, positioning Europe as world leaders in one of the biggest societal challenges of 21st century healthcare. The inherent complexity of neurological disease, the overlap of symptoms and pathologies, and the high comorbidity rate suggests a systems medicine approach, which matches the specific challenge of this call. We take a uniquely holistic approach that, in the spirit of systems medicine, integrates a variety of clinical and biomedical research data including risk factors, biomarkers, and interactions. Our consortium has a multidisciplinary balance of essential expertise in mathematical/statistical/computational modelling; clinical, biomedical and epidemiological expertise; and access to a diverse range of datasets for sporadic and well-phenotyped disease types.
The project will devise and implement, as open-source software tools, advanced statistical and computational techniques for reconstructing long-term temporal evolution of disease markers from cross-sectional or short-term longitudinal data. We will apply the techniques to generate new and uniquely detailed pictures of a range of important diseases. This will support the development of new evidence-based treatments in Europe through deeper disease understanding, better patient stratification for clinical trials, and improved accuracy of diagnosis and prognosis. For example, Alzheimer’s disease alone costs European citizens around €200B every year in care and loss of productivity. No disease modifying treatments are yet available. Clinical trials repeatedly fail because disease heterogeneity prevents bulk response. Our models enable fine stratification into phenotypes enabling more focussed analysis to identify subgroups that respond to putative treatments.
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Coordinator

UNIVERSITY COLLEGE LONDON

Address

Gower Street
Wc1e 6bt London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 645 492,50

Participants (8)

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INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE

France

EU Contribution

€ 655 016

ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM

Netherlands

EU Contribution

€ 790 250

STICHTING VU

Netherlands

PROVINCIA LOMBARDO VENETA - ORDINEOSPEDALIERO DI SAN GIOVANNI DI DIO- FATEBENEFRATELLI

Italy

EU Contribution

€ 423 050

FONDAZIONE IRCCS ISTITUTO NEUROLOGICO CARLO BESTA

Italy

EU Contribution

€ 337 306

UNIVERSITE DE GENEVE

Switzerland

ICOMETRIX NV

Belgium

EU Contribution

€ 638 625

STICHTING VUMC

Netherlands

EU Contribution

€ 486 122,50

Project information

Grant agreement ID: 666992

Status

Ongoing project

  • Start date

    1 January 2016

  • End date

    31 December 2020

Funded under:

H2020-EU.3.1.1.

  • Overall budget:

    € 5 498 612,25

  • EU contribution

    € 4 975 862

Coordinated by:

UNIVERSITY COLLEGE LONDON

United Kingdom