Explore the words cloud of the EuroPOND project. It provides you a very rough idea of what is the project "EuroPOND" about.
The following table provides information about the project.
Coordinator |
UNIVERSITY COLLEGE LONDON
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://europond.eu |
Total cost | 5˙498˙612 € |
EC max contribution | 4˙975˙862 € (90%) |
Programme |
1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease) |
Code Call | H2020-PHC-2015-two-stage |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2020-12-31 |
Take a look of project's partnership.
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1 | UNIVERSITY COLLEGE LONDON | UK (LONDON) | coordinator | 1˙645˙492.00 |
2 | ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM | NL (ROTTERDAM) | participant | 790˙250.00 |
3 | INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE | FR (PARIS) | participant | 655˙016.00 |
4 | ICOMETRIX NV | BE (LEUVEN) | participant | 638˙625.00 |
5 | STICHTING VUMC | NL (AMSTERDAM) | participant | 486˙122.00 |
6 | PROVINCIA LOMBARDO VENETA - ORDINEOSPEDALIERO DI SAN GIOVANNI DI DIO- FATEBENEFRATELLI | IT (BRESCIA) | participant | 423˙050.00 |
7 | FONDAZIONE IRCCS ISTITUTO NEUROLOGICO CARLO BESTA | IT (MILANO) | participant | 337˙306.00 |
8 | STICHTING VU | NL (AMSTERDAM) | participant | 0.00 |
9 | UNIVERSITE DE GENEVE | CH (GENEVE) | participant | 0.00 |
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.
Open source software tool | Websites, patent fillings, videos etc. | 2020-01-28 10:04:35 |
Paper: basic models of ageing | Websites, patent fillings, videos etc. | 2020-01-28 10:04:35 |
Paper: enhanced models | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: network propagation models | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Website and Mailing List | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: simulation framework | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: Bayesian spatio-temporal models | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: Bayesian scalar trajectory models | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: unified modelling framework | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Paper: refined EBM | Websites, patent fillings, videos etc. | 2020-01-28 10:04:34 |
Take a look to the deliverables list in detail: detailed list of EuroPOND deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Elisabeth J. Vinke, Wyke Huizinga, Martin Bergtholdt, Hieab H. Adams, Rebecca M.E. Steketee, Janne M. Papma, Frank J. de Jong, Wiro J. Niessen, M. Arfan Ikram, Fabian Wenzel, Meike W. Vernooij Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia published pages: 9-16, ISSN: 0197-4580, DOI: 10.1016/j.neurobiolaging.2019.07.008 |
Neurobiology of Aging 84 | 2020-02-19 |
2020 |
Lotte G. M. Cremers, Wyke Huizinga, Wiro J. Niessen, Gabriel P. Krestin, Dirk H. J. Poot, M. Arfan Ikram, Jyrki Lötjönen, Stefan Klein, Meike W. Vernooij Predicting Global Cognitive Decline in the General Population Using the Disease State Index published pages: , ISSN: 1663-4365, DOI: 10.3389/fnagi.2019.00379 |
Frontiers in Aging Neuroscience 11 | 2020-02-19 |
2019 |
Alexandre Bône, Olivier Colliot, Stanley Durrleman Learning the spatiotemporal variability in longitudinal shape data sets published pages: , ISSN: , DOI: |
2020-02-19 | |
2019 |
Alexandre Bône, Olivier Colliot, Stanley Durrleman Auto-encoding meshes of any topology with the current-splatting and exponentiation layers published pages: , ISSN: , DOI: |
2020-02-19 | |
2019 |
Igor Koval, Stéphanie Allassonnière, Stanley Durrleman Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects published pages: , ISSN: , DOI: |
2020-02-19 | |
2019 |
Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône,
Simona Bottani, Tiziana Cattai, Raphael Couronne, Johann Faouzi, Igor
Koval, Maxime Louis, et al. Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic andQuantitative Review published pages: , ISSN: , DOI: |
2020-02-19 | |
2019 |
Sara Garbarino, Marco Lorenzi, Neil P Oxtoby, Elisabeth J Vinke, Razvan V Marinescu, Arman Eshaghi, M Arfan Ikram, Wiro J Niessen, Olga Ciccarelli, Frederik Barkhof, Jonathan M Schott, Meike W Vernooij, Daniel C Alexander Differences in topological progression profile among neurodegenerative diseases from imaging data published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.49298 |
eLife 8 | 2020-02-19 |
2019 |
Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley
Durrleman Hierarchical modeling of Alzheimer’s disease progression from a large longitudinal MRI data set published pages: , ISSN: , DOI: |
2020-02-19 | |
2019 |
Lara Lordier, Djalel-Eddine Meskaldji, Frédéric Grouiller, Marie P. Pittet, Andreas Vollenweider, Lana Vasung, Cristina Borradori-Tolsa, François Lazeyras, Didier Grandjean, Dimitri Van De Ville, Petra S. Hüppi Music in premature infants enhances high-level cognitive brain networks published pages: 201817536, ISSN: 0027-8424, DOI: 10.1073/pnas.1817536116 |
Proceedings of the National Academy of Sciences | 2020-02-19 |
2019 |
Damiano Archetti, Silvia Ingala, Vikram Venkatraghavan, Viktor Wottschel, Alexandra L. Young, Maura Bellio, Esther E. Bron, Stefan Klein, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby, Giovanni B. Frisoni, Alberto Redolfi Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer\'s disease published pages: 101954, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.101954 |
NeuroImage: Clinical 24 | 2020-02-19 |
2019 |
Viktor Wottschel, Declan T. Chard, Christian Enzinger, Massimo Filippi, Jette L. Frederiksen, Claudio Gasperini, Antonio Giorgio, Maria A. Rocca, Alex Rovira, Nicola De Stefano, Mar Tintoré, Daniel C. Alexander, Frederik Barkhof, Olga Ciccarelli SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis published pages: 102011, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.102011 |
NeuroImage: Clinical 24 | 2020-02-19 |
2018 |
Meike W. Vernooij, Bas Jasperse, Rebecca Steketee, Marcel Koek, Henri Vrooman, M. Arfan Ikram, Janne Papma, Aad van der Lugt, Marion Smits, Wiro J. Niessen Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy published pages: 374-379, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.08.004 |
NeuroImage: Clinical 20 | 2020-01-28 |
2018 |
Anne Bertrand, Junhao Wen, Daisy Rinaldi, Marion Houot, Sabrina Sayah, Agnès Camuzat, Clémence Fournier, Sabrina Fontanella, Alexandre Routier, Philippe Couratier, Florence Pasquier, Marie-Odile Habert, Didier Hannequin, Olivier Martinaud, Paola Caroppo, Richard Levy, Bruno Dubois, Alexis Brice, Stanley Durrleman, Olivier Colliot, Isabelle Le Ber Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years published pages: 236, ISSN: 2168-6149, DOI: 10.1001/jamaneurol.2017.4266 |
JAMA Neurology 75/2 | 2020-01-28 |
2018 |
Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot Reproducible evaluation of classification methods in Alzheimer\'s disease: Framework and application to MRI and PET data published pages: 504-521, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.08.042 |
NeuroImage 183 | 2020-01-28 |
2019 |
Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sebastien Ourselin Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer\'s disease published pages: 56-68, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.08.059 |
NeuroImage 190 | 2020-01-28 |
2019 |
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein Disease progression timeline estimation for Alzheimer\'s disease using discriminative event based modeling published pages: 518-532, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.11.024 |
NeuroImage 186 | 2020-01-28 |
2018 |
Igor Koval, Alexandre Bône, Maxime Louis, Simona Bottani, Arnaud Marcoux, Jorge Samper-Gonzalez, Ninon Burgos, Benjamin Charlier, Anne Bertrand, Stéphane Epelbaum, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman Simulating Alzheimer\'s disease progression with personalised digital brain models published pages: , ISSN: , DOI: |
2020-01-28 | |
2019 |
Răzvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders published pages: 166-177, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.02.053 |
NeuroImage 192 | 2020-01-28 |
2019 |
L. Gui, S. Loukas, F. Lazeyras, P.S. Hüppi, D.E. Meskaldji, C. Borradori Tolsa Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome published pages: 728-741, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.06.034 |
NeuroImage 185 | 2020-01-28 |
2019 |
Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein Disease progression timeline estimation for Alzheimer\'s disease using discriminative event based modeling published pages: 518-532, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.11.024 |
NeuroImage 186 | 2020-01-28 |
2018 |
W. Huizinga, D.H.J. Poot, M.W. Vernooij, G.V. Roshchupkin, E.E. Bron, M.A. Ikram, D. Rueckert, W.J. Niessen, S. Klein A spatio-temporal reference model of the aging brain published pages: 11-22, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.10.040 |
NeuroImage 169 | 2020-01-28 |
2018 |
Elisabeth J. Vinke, Marius de Groot, Vikram Venkatraghavan, Stefan Klein, Wiro J. Niessen, M. Arfan Ikram, Meike W. Vernooij Trajectories of imaging markers in brain aging: the Rotterdam Study published pages: 32-40, ISSN: 0197-4580, DOI: 10.1016/j.neurobiolaging.2018.07.001 |
Neurobiology of Aging 71 | 2020-01-28 |
2018 |
Arman Eshaghi, Razvan V Marinescu, Alexandra L Young, Nicholas C Firth, Ferran Prados, M Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J Brownlee, Nicola De Stefano, M Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, Maria A Rocca, Alex Rovira, Jaume Sastre-Garriga, Jeroen J G Geurts, Hugo Vrenken, Viktor Wottschel, Cyra E Leurs, Bernard Uitdehaag, Lukas Pirpamer, Christian Enzinger, Sebastien Ourselin, Claudia A Gandini Wheeler-Kingshott, Declan Chard, Alan J Thompson, Frederik Barkhof, Daniel C Alexander, Olga Ciccarelli Progression of regional grey matter atrophy in multiple sclerosis published pages: 1665-1677, ISSN: 0006-8950, DOI: 10.1093/brain/awy088 |
Brain 141/6 | 2020-01-28 |
2017 |
Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sebastien Ourselin Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer\'s disease published pages: , ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.08.059 |
NeuroImage | 2020-01-28 |
2018 |
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman Spatiotemporal Propagation of the Cortical Atrophy: Population and Individual Patterns published pages: , ISSN: 1664-2295, DOI: 10.3389/fneur.2018.00235 |
Frontiers in Neurology 9 | 2020-01-28 |
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The information about "EUROPOND" are provided by the European Opendata Portal: CORDIS opendata.