Project description
Predictive algorithms to fight breast cancer
Breast cancer is the leading cause of cancer-related death in women worldwide. The implication of tumour heterogeneity in breast cancer progression and relapse has been well documented, and advocates for the development of tailored treatments. The implementation of personalised medicine requires the discovery of new biomarkers, based on omics data analysis along with clinical information. It is a challenging field requiring sophisticated mathematical approaches combined with biological deep analysis. The EU-funded PredAlgoBC project has brought together clinicians, mathematicians and bioinformaticians to develop machine learning algorithms in the search for predictive biomarkers for breast cancer treatment. The identification of new biomarkers and their implementation in the clinic will guide clinicians in the selection of the optimal therapeutic option.
Fields of science
- natural sciencescomputer and information sciencesdata sciencedata mining
- medical and health sciencesclinical medicineoncologybreast cancer
- medical and health scienceshealth sciencespersonalized medicine
- natural sciencesmathematics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EF
Coordinator
49100 Angers
France
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