Machine learning prediction for breast cancer therapy

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 sciences › computer and information sciences › data science › data mining
• medical and health sciences › clinical medicine › oncology › breast cancer
• medical and health sciences › health sciences › personalized medicine
• natural sciences › mathematics
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• 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

INSTITUT DE CANCEROLOGIE DE L'OUEST

Net EU contribution

€ 184 707,84

Address

15 Rue Andre Boquel, Cs10059
49100 Angers
France

Region

Pays de la Loire › Pays de la Loire › Maine-et-Loire

Activity type

Research Organisations

Links

Other funding

€ 0,00