SOURCE-LINKED INTELLIGENCE
Hereditary and Early onset breast cancer: Comprehensive personalized Assessment, early Risk Evaluation, and clinical management
ss critical gaps in early detection, risk stratification, and clinical management by developing tools that integrate genetic, molecular, and imaging data with state-of-the-art technologies, including artificial intelligence, machine learning, and advanced statistical modelling. These efforts will uncover: i) new molecular mechanisms and biological targets that can be targeted in hereditary and early-onset breast cancer; ii) better multifactorial risk profiles to enhance prediction accuracy; iii) new minimally invasive tools and assays to detect and intercept breast cancer early. The resulting tools and methodologies will: enhance early detection with accessible, personalized treatment and preventative strategies tailored to young women; ii) improve genetic counselling and clinical management; iii) improve treatment guidelines/ cancer prevention programs; and iv) reduce the high rate of misdiagnoses and overtreatment. HER-CARE will train the next generation of researchers by equipping 15 Doctoral Candidates with multidisciplinary skills spanning genetics, bioinformatics, molecular bio
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4697517.24
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.