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PRIMAGE SIGNED

PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers

Total Cost €

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EC-Contrib. €

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Partnership

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 PRIMAGE project word cloud

Explore the words cloud of the PRIMAGE project. It provides you a very rough idea of what is the project "PRIMAGE" about.

society    algorithms    hybrid    data    frequent    commercial    machine    de    members    learning    private    points    diagnosis    neuroblastoma    accessible    clouds    science    paediatric    storage    simulation    glioma    dipg    biobanks    societal    malignant    follow    quality    predictive    proposes    childhood    services    therapies    scientific    eosc    loved    context    genetics    retrospective    shared    silico    pontine    brain    decision    solid    confidence    scores    models    acute    model    death    family    assist    platform    visualisation    streamline    solutions    prospective    extraction    vulnerable    structuring    training    weighted    predictors    suitable    prognosis    registries    oncology    cancer    curated    nb    medicine    cancers    diffuse    comprising    pseudonymisation    translation    tumours    prominent    children    infrastructures    units    cloud    community    secure    imaging    clinical    intrinsic    reuse    primage    performance    treatment    disease    public    biomarkers    implements    molecular    tumour    tools    predictions    validated    representativeness    validation   

Project "PRIMAGE" data sheet

The following table provides information about the project.

Coordinator
FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA 

Organization address
address: AV FERNANDO ABRIL MARTORELL 106
city: VALENCIA
postcode: 46026
website: http://www.iislafe.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 10˙312˙360 €
 EC max contribution 10˙311˙920 € (100%)
 Programme 1. H2020-EU.3.1.5.3. (Using in-silico medicine for improving disease management and prediction)
 Code Call H2020-SC1-DTH-2018-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2022-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA ES (VALENCIA) coordinator 1˙297˙500.00
2    QUIBIM SOCIEDAD LIMITADA ES (VALENCIA) participant 901˙250.00
3    ANSYS FRANCE SAS FR (MONTIGNY LE BRETONNEUX) participant 815˙687.00
4    ST. ANNA KINDERKREBSFORSCHUNG AT (WIEN) participant 810˙000.00
5    UNIVERSIDAD DE ZARAGOZA ES (ZARAGOZA) participant 803˙437.00
6    KLINIKUM DER UNIVERSITAET ZU KOELN DE (KOELN) participant 797˙750.00
7    UNIVERSITAT KONSTANZ DE (KONSTANZ) participant 761˙562.00
8    CHEMOTARGETS S.L. ES (Barcelona) participant 666˙250.00
9    UNIVERSITA DI PISA IT (PISA) participant 645˙625.00
10    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) participant 621˙007.00
11    AKADEMIA GORNICZO-HUTNICZA IM. STANISLAWA STASZICA W KRAKOWIE PL (KRAKOW) participant 542˙468.00
12    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) participant 460˙062.00
13    MEDEXPRIM FR (LABASTIDE BEAUVOIR) participant 342˙500.00
14    MATICAL INNOVATION SL ES (TALAVERA DE LA REINA TOLEDO) participant 329˙875.00
15    SIOP EUROPE ASBL BE (BRUXELLES) participant 327˙452.00
16    ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA IT (BOLOGNA) participant 189˙491.00

Map

 Project objective

PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumours, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow up, based on the use of novel imaging biomarkers, in-silico tumour growth simulation, advanced visualisation of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points. PRIMAGE implements a hybrid cloud model, comprising the of use of open public cloud (based on EOSC services) and private clouds, enabling use by the scientific community (facilitating reuse of de-identified clinical curated data in Open Science) and also suitable for future commercial exploitation. The proposed data infrastructures, imaging biomarkers and models for in-silico medicine research will be validated in the application context of two paediatric cancers, Neuroblastoma (NB, the most frequent solid cancer of early childhood) and the Diffuse Intrinsic Pontine Glioma (DIPG, the leading cause of brain tumour-related death in children). These two paediatric cancers are relevant validation cases given their representativeness of cancer disease, and their high societal impact, as they affect the most vulnerable and loved family members. The European Society for Paediatric Oncology, two Imaging Biobanks and three of the most prominent European Paediatric oncology units are partners in this project, making retrospective clinical data (imaging, clinical, molecular and genetics) registries accessible to PRIMAGE, for training of machine learning algorithms and testing of the in-silico tools´ performance. Solutions to streamline and secure the data pseudonymisation, extraction, structuring, quality control and storage processes, will be implemented and validated also for use on prospective data, contributing European shared data infrastructures.

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The information about "PRIMAGE" are provided by the European Opendata Portal: CORDIS opendata.

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