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Multiparametric imaging of glioblastoma tumour heterogeneity for supporting treatment decisions and accurate prognostic estimation

Total Cost €


EC-Contrib. €






Project "GLIOHAB" data sheet

The following table provides information about the project.


Organization address
city: OSLO
postcode: 450

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 Norway [NO]
 Total cost 214˙158 €
 EC max contribution 214˙158 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2021-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OSLO UNIVERSITETSSYKEHUS HF NO (OSLO) coordinator 214˙158.00


 Project objective

Glioblastoma is not only the most frequent but also the most malignant tumour originating in the Central Nervous System. Due to the extremely complex and heterogeneous molecular biology of this tumour “the same treatment for all” approach does not work well in this disease, and standard of care is not always the best option. The intra-patient tumor heterogeneity is one of the responsible factors for the high aggressiveness of these lethal solid tumors and their resistance against effective therapies. In this context, additional efforts are needed for generate novel strategies able to define more tailored personalized treatments that facilitate higher safety and efficacy for relevant sub-populations. GLIOHAB project will develop an artificial intelligence based medical device able to monitor the functional state of the glioblastoma at pixel level. This software will be built on technologies previously co-developed, validated, and patented by the researcher. GLIOHAB will join best experts in the field, in a multidisciplinary and eminently clinical environment, which will provide the optimum conditions for a holistic approach to the solution. This proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques. GLIOHAB results will contribute to monitor the response of highly aggressive tumours to complex treatments, and generate stratification strategies to select treatment responder patients.


year authors and title journal last update
List of publications.
2019 María del Mar Álvarez‐Torres, Javier Juan‐Albarracín, Elies Fuster‐Garcia, Fuensanta Bellvís‐Bataller, David Lorente, Gaspar Reynés, Jaime Font de Mora, Fernando Aparici‐Robles, Carlos Botella, Jose Muñoz‐Langa, Raquel Faubel, Sabina Asensio‐Cuesta, Germán A. García‐Ferrando, Eduard Chelebian, Cristina Auger, Jose Pineda, Alex Rovira, Laura Oleaga, Enrique Mollà‐Olmos, A
Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study
published pages: , ISSN: 1053-1807, DOI: 10.1002/jmri.26958
Journal of Magnetic Resonance Imaging 2019-11-22

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

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