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Acta Oncologica (Stockholm, Sweden)|October 5, 2019
Neutropenic complications in the PANTHER phase III study of adjuvant tailored dose-dense chemotherapy in early breast cancerAntroula Papakonstantinou, Elham Hedayati, Mats Hellström, et al.
Ebiomedicine|April 25, 2026
Spatially resolved T cell receptor diversity mapping uncovers variability of the cancer immune microenvironmentAnastasia Magoulopoulou, Maria Chatzinikolaou, Andreas Metousis, et al.
Clinical Nutrition (Edinburgh, Scotland)|December 5, 2020
Vitamin K intake and breast cancer incidence and death: results from a prospective cohort studyKang Wang, Qianxue Wu, Zhuyue Li, et al.
European Journal of Cancer (Oxford, England : 1990)|April 3, 2026
Integrating liquid biopsies and artificial intelligence for early cancer detection: A systematic review and meta-analysisPanagiotis Filis, Georgios Markozannes, Dimitrios Salgkamis, et al.
European Journal of Cancer (Oxford, England : 1990)|August 28, 2017
Breast cancer in young women and prognosis: How important are proliferation markers?Hanna Fredholm, Kristina Magnusson, Linda S Lindström, et al.
Radiology|June 9, 2026
Artificial Intelligence Detection Scores in Screening Mammography for Early Breast Cancer AlertsSarah Hickman, Pantelis Gialias, Haiko Schurz, et al.
Journal of the National Cancer Institute|January 22, 2025
Comprehensive genome profiling for treatment decisions in patients with metastatic tumors: real-world evidence meta-analysis and registry data implementationIoannis Zerdes, Panagiotis Filis, Georgios Fountoukidis, et al.
Thyroid : Official Journal of the American Thyroid Association|July 16, 2010
Proteomic study of thyroid tumors reveals frequent up-regulation of the Ca2+ -binding protein S100A6 in papillary thyroid carcinomaAnastasios Sofiadis, Andrii Dinets, Lukas M Orre, et al.
Histopathology|December 9, 2017
Digital image analysis of Ki67 in hot spots is superior to both manual Ki67 and mitotic counts in breast cancerGustav Stålhammar, Stephanie Robertson, Lena Wedlund, et al.
European Journal of Cancer (Oxford, England : 1990)|July 26, 2023
Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic informationYinxi Wang, Maya Alsheh Ali, Johan Vallon-Christersson, et al.
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