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1. Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images.

2. Roles of miR-20a-5p in breast cancer based on the clinical and multi-omic (CAMO) cohort and in vitro studies.

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3. Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review.

4. Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial.

5. High Expression of IRS-1, RUNX3 and SMAD4 Are Positive Prognostic Factors in Stage I-III Colon Cancer.

6. Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study.

7. A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images.

8. High expression of miR-17-5p and miR-20a-5p predicts favorable disease-specific survival in stage I-III colon cancer.

9. Serglycin Is Involved in TGF-β Induced Epithelial-Mesenchymal Transition and Is Highly Expressed by Immune Cells in Breast Cancer Tissue.

10. The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort.

11. Overexpression of miR-20a-5p in Tumor Epithelium Is an Independent Negative Prognostic Indicator in Prostate Cancer-A Multi-Institutional Study.

12. High expression of microRNA-126 relates to favorable prognosis for colon cancer patients.

13. Tertiary lymphoid structure score: a promising approach to refine the TNM staging in resected non-small cell lung cancer.

14. Digitally quantified CD8+ cells: the best candidate marker for an immune cell score in non-small cell lung cancer?

15. Differential expression of the miR-17-92 cluster and miR-17 family in breast cancer according to tumor type; results from the Norwegian Women and Cancer (NOWAC) study.

16. Differential prognostic impact of platelet-derived growth factor receptor expression in NSCLC.

17. Prognostic Value of Macrophage Phenotypes in Resectable Non-Small Cell Lung Cancer Assessed by Multiplex Immunohistochemistry.