Objective
Human melanoma is highly resistant to any kind of treatment, but the underlying reasons are largely unknown. OISTER aims to collect tissue samples and cell lines together with relevant clinical data in order to correlate the tumour characteristics with the clinical information, especially response to treatment with the final objective of using this knowledge to enhance treatment success in this refractory disease. This will be achieved by analyses at the genetic and proteomic level and correlation of the results with the clinical data using artificial neural network bio informatics programs. Integration of pre-existing md newly-built data bases with ESTDAB, an EU-funded infrastructure project, aimed to establish the largest collection of fully-characterised melanoma cell lines in Europe and the world, will provide tools to identify new biomarkers and tumour-associated antigens associated with prognosis and responsiveness to treatment.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesclinical medicineoncologyskin cancermelanoma
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
68135 MANNHEIM
Germany