BosomShield is a project funded by Marie Skłodowska-Curie Doctoral Networks Actions (HORIZON-MSCA-2021-DN-01-01) with a grant number of 101073222.
ABOUT PROJECT
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:
- Expert radiologists and pathologists (Pere Virgili Institute for Health Research (Spain), University Hospital Sant Joan de Reus (Spain), Skåne University Hospital (Sweden), Univerzitetni klinicni center Maribor (Solvenia), Hospital Universitario Puerta del Mar (Spain), Azienda Sanitaria Universitaria Friuli Centrale (Italy) and Hospital de Tortosa Vergé de la Cinta (Spain)).
- Biomedical researchers (Universitat Rovira i Virgili (Spain), KTH Royal Institute of Technology (Sweden), Stichting Radboud Universitair Medisch Centrum (Netherland), Nalecz Institute of Biocybernetics and Biomedical Engineering (Poland), University of Udine (Italy), Université Bourgogne Franche-Comté (France), University of Maribor (Slovenia), Institute of Technology Petronas (Malaysia) and The University of Texas Health Science Center at Houston (USA)).
- Biomedical software developers including SMEs (NVISION Systems and Technologies SL (Spain), Mediri GmbH (Germany), UMMON HEALTHTECH (France) and SFERA IT STORITVE DOO (Slovenia)).
- International large companies (O3 Enterprise S.R.L. (Italy) and General Electric Research (USA)).
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).
- [DC1] Determination of molecular subtypes of BC using multimodal radiological imaging, (Location: Universitat Rovira iVirgili (URV), Tarragona, Spain). Read more Apply
- [DC2] Transparent AI for predicting the risk of developing BC using radiological imaging, (Location: KTH Royal Institute of Technology (KTH), Stockholm, Sweden). Read more Apply
- [DC3] Evolutionary quantification of breast density after surgery or radiotherapy for local recurrence detection, (Location: Stichting Radboud Universitair Medisch Centrum (Radboudumc), Nijmegen, Netherland). Read more Apply
- [DC4] Risk association of relapse for distant metastasis in breast cancer patients with the immune response of primary and axillar tumour using informatics analysis of standardized digital images and RNAm expression, (Location: Pere Virgili Institute for Health Research (IISPV), Tarragona, Spain). Read more Apply
- [DC5] Tumour-infiltrating lymphocytes: image standardization, quantification and characterization of cell population in breast cancer, (Location: Nalecz Institute of Biocybernetics and Biomedical Engineering (IBBE PAS), Warszawa, Poland). Read more Apply
- [DC6] High throughput digital analysis of WSIs images for improved BC subtypes and relapse prediction(Location: University of Udine (UNIUD), Udine, Italy). Read more Apply
- [DC7] Multi-model imaging analysis: Biomarkers correlation between radiological and histopathological imaging, (Location: Université Bourgogne Franche-Comté (UBFC), Bourgogne, France). Read more Apply
- [DC8] Explainable Prediction model of relapse combining histopathological, radiological and clinical biomarkers, (Location: University of Maribor (UM), Maribor, Slovenia). Read more Apply
- [DC9] Privacy preserving FL pipeline for a multi-institutional collaboration, (Location: NVISION Systems and Technologies SL (NION), Barcelona, Spain). Read more Apply
- [DC10] Prototype development for secure remote CAD solution with web access for patient-individual multi-modal image analysis using cloud computing methods with inherent data privacy design, (Location: Mediri GmbH (MED), Heidelberg, Germany). Read more Apply
0
Total groups
0
Staff Members
0
Time period per years
0
Participating countries
BOSOMSHIELD PARTNERS
WE LOVE TO HEAR
Acknowledgement
This project has received funding from Marie Skłodowska-Curie Doctoral Networks Actions (HORIZON-MSCA-2021-DN-01-01) with a grant number of 101073222.