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2. Artificial Intelligence-Based Mitosis Scoring in Breast Cancer: Clinical Application

3. Characterisation of luminal and triple-negative breast cancer with HER2 Low protein expression

4. Deciphering the Morphology of Tumor-Stromal Features in Invasive Breast Cancer Using Artificial Intelligence

9. The combination phenotype of B-cell specific Moloney murine leukaemia virus integration site 1 (BMI1) and CD44+/CD24−/low associates with poor clinicopathological features in African patients with breast cancer

10. Predictors of pathological complete response to neoadjuvant treatment and changes to post-neoadjuvant HER2 status in HER2-positive invasive breast cancer

12. A novel prognostic two-gene signature for triple negative breast cancer

15. The molecular mechanisms underlying reduced E-cadherin expression in invasive ductal carcinoma of the breast: high throughput analysis of large cohorts

20. Saccharomyces cerevisiae-like 1 (SEC14L1) is a prognostic factor in breast cancer associated with lymphovascular invasion

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