AI-driven spatial mapping of pure DCIS lesions to characterise progression using retrospective whole-slide histology and multi-omic integration
Keyword(s): DCIS; B5a; breast cancer; digital pathology; artificial intelligence; spatial transcriptomics; multiplex immunofluorescence; tumour heterogeneity; progression; whole-slide imaging
Year: 2026
Interested in this project?
If you would like to learn more about this project or explore a potential collaboration with the research team,
please contact us (The project title will be quoted automatically). We will forward your enquiry to the project lead to explore potential
opportunities for collaboration.
