BosomShield proposes to join the two disciplines (pathological and radiological imaging) in a software that will analyse these images to classify the breast cancer subtypes and predict (together with the complete clinical history of the patient) the probability of relapse for distant metastasis. In addition, BosomShield will provide high-level training in breast cancer research to young researchers by offering the necessary transferable skills for thriving careers underpinned using diverse disciplines, digital radiology and pathology, biomedical, AI, privacy and software development.
The consortium of BosomShield has ten beneficiaries and twelve associated partners, and it is well balanced with:
The fact that all key areas related to the application of advanced methods for breast cancer relapse prediction are covered by more than one participant ensures the uninterrupted progress of the project, as well as its scientific integrity.
BosomShield partners are interested in receiving Expressions of Interest from potential doctorate candidates for 10 positions of the Marie Sklodowska – Curie Doctorate Network (MSCA-DN-2021).
This project has received funding from Marie Skłodowska-Curie Doctoral Networks Actions (HORIZON-MSCA-2021-DN-01-01) with a grant number of 101073222.