Project description
AI-based multiparametric imaging of glioblastoma for a personalised treatment strategy
Glioblastoma is the most frequent and aggressive malignant tumour of the central nervous system. Tumour heterogeneity is the major factor responsible for the disease's high mortality rate and resistance to effective treatment. The EU-funded GLIOHAB project will develop an artificial intelligence-based system with the ability to monitor the functional state of the glioblastoma at pixel level. The development of the software capitalises on technologies previously co-developed, validated and patented by the project researcher. GLIOHAB represents a multidisciplinary effort of the best experts to provide the optimum conditions for a holistic approach to glioblastoma treatment.
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences software
- natural sciences biological sciences molecular biology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
0450 Oslo
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.