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.

Fields of science

• natural sciences › biological sciences › molecular biology
• natural sciences › computer and information sciences › artificial intelligence
• natural sciences › biological sciences › neurobiology

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2018 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2018
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

OSLO UNIVERSITETSSYKEHUS HF

Address

Kirkeveien 166 Tarnbygget
0450 Oslo
Norway

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 214 158,72