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

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.

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Coordinator

OSLO UNIVERSITETSSYKEHUS HF
Net EU contribution
€ 214 158,72
Address
Kirkeveien 166 tarnbygget
0450 Oslo
Norway

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Region
Norge Oslo og Viken Oslo
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00