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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.

Field of science

  • /medical and health sciences/basic medicine/pathology
  • /natural sciences/computer and information sciences/software
  • /medical and health sciences/basic medicine/neurology/alzheimer
  • /social sciences/economics and business/economics/production economics/productivity

Call for proposal

H2020-PHC-2015-two-stage
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

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)

INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
France
EU contribution
€ 655 016
Address
Rue De Tolbiac 101
75654 Paris
Activity type
Research Organisations
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM
Netherlands
EU contribution
€ 790 250
Address
Dr Molewaterplein 40
3015 GD Rotterdam
Activity type
Higher or Secondary Education Establishments
STICHTING VU

Participation ended

Netherlands
EU contribution
€ 0
Address
De Boelelaan 1105
1081 HV Amsterdam
Activity type
Higher or Secondary Education Establishments
PROVINCIA LOMBARDO VENETA - ORDINEOSPEDALIERO DI SAN GIOVANNI DI DIO- FATEBENEFRATELLI
Italy
EU contribution
€ 423 050
Address
Via Pilastroni 4
25125 Brescia
Activity type
Research Organisations
FONDAZIONE IRCCS ISTITUTO NEUROLOGICO CARLO BESTA
Italy
EU contribution
€ 337 306
Address
Via Giovanni Celoria 11
20133 Milano
Activity type
Research Organisations
UNIVERSITE DE GENEVE
Switzerland
EU contribution
€ 0
Address
Rue Du General Dufour 24
1211 Geneve
Activity type
Higher or Secondary Education Establishments
ICOMETRIX NV
Belgium
EU contribution
€ 638 625
Address
Kolonel Begaultlaan 1B
3012 Leuven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
STICHTING VUMC
Netherlands
EU contribution
€ 486 122,50
Address
De Boelelaan 1117
1081 HV Amsterdam
Activity type
Research Organisations