Research Catalogue

The Research Catalogue provides a comprehensive overview of research projects approved to use Breast Cancer Now Biobank specimens and the outputs generated from this work. Here, researchers can explore approved and ongoing projects, access associated publications and resources, and learn how Biobank-supported research is advancing breast cancer research.

73 to 81 of 344 results found
Publications Multi-modal AI for comprehensive breast cancer prognostication
Institution: Ataraxis A; Center for Data Science, NYU; Grossman School of Medicin, NYU
Keyword(s): AI
Summary: Treatment selection in breast cancer is guided by molecular subtypes and clinical characteristics. Recurrence risk assessment plays a crucial role in personalizing treatment. Cu...
Year: 2024
Publications Stromal lymphocytes are associated with upgrade of B3 breast lesions
Institution: Peter MacCallum Cancer Centre; University of Melbourne
Keyword(s): histopathological, clinical, imaging, stromal lymphocytes, B3 breast lesions
Summary: Various histopathological, clinical and imaging parameters have been evaluated to identify a subset of women diagnosed with lesions with uncertain malignant potential (B3 or BIR...
Year: 2024
Publications The Lancet Breast Cancer Commission
Institution: Department of Oncology, University of Cambridge, Cambridge, UK
Keyword(s): -
Summary: The Lancet Breast Cancer Commission-a diverse, multidisciplinary international group-are unanimous in our determination to improve the lives of all people who live with or are a...
Year: 2024
Publications The amino acid transporter SLC7A11 expression in breast cancer
Institution: School of Medicine, University of Nottingham
Keyword(s): IHC, SLC7A11, amino acid transporters, metabolism, prognostic factor, subtypes, genomic, transcriptomic, protein
Summary: Breast cancer (BC), characterized by its diverse molecular profiles and clinical outcomes, presents a significant challenge in the development of effective therapeutic strategie...
Year: 2024
Publications Vitacrystallography: Structural Biomarkers of Breast Cancer Obtained by X-ray Scattering
Institution: City University of New York
Keyword(s): structural biomarkers, X-ray scattering, extracellular matrix, cancer detection, machine learning
Summary: With breast cancer being one of the most widespread causes of death for women, there is an unmet need for its early detection. For this purpose, we propose a non-invasive approa...
Year: 2024