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Virchows Archiv : an International Journal of Pathology|October 7, 2025
AI assessment of tumor-infiltrating lymphocytes on routine H&E-slides as a predictor of response to neoadjuvant therapy in breast cancer-a real-world studyDusan Rasic, Elisabeth Ida Specht Stovgaard, Anne Marie Bak Jylling, et al.
Breast (Edinburgh, Scotland)|December 11, 2025
Validation of a deep learning-based AI model for breast cancer risk stratification in postmenopausal ER+/HER2-breast cancer patientsSandra Sinius Pouplier, Abhinav Sharma, Pekka Ruusuvuori, et al.
NPJ Breast Cancer|March 7, 2025
Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trialIoannis Zerdes, Alexios Matikas, Artur Mezheyeuski, et al.
British Journal of Cancer|January 26, 2018
Immune gene expression and response to chemotherapy in advanced breast cancerTheodoros Foukakis, John Lövrot, Alexios Matikas, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|October 4, 2017
PAM50 Provides Prognostic Information When Applied to the Lymph Node Metastases of Advanced Breast Cancer PatientsNicholas P Tobin, Arian Lundberg, Linda S Lindström, et al.
Radiology|October 24, 2023
Optimizing the Pairs of Radiologists That Double Read Screening MammogramsJessie J J Gommers, Craig K Abbey, Fredrik Strand, et al.
Cancer Research|December 11, 2014
Novel mechanism of macrophage-mediated metastasis revealed in a zebrafish model of tumor developmentJian Wang, Ziquan Cao, Xing-Mei Zhang, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|July 30, 2024
Modeling Radiologists' Assessments to Explore Pairing Strategies for Optimized Double Reading of Screening MammogramsJessie J J Gommers, Craig K Abbey, Fredrik Strand, et al.
Cancer Cell|November 15, 2017
An HIF-1α/VEGF-A Axis in Cytotoxic T Cells Regulates Tumor ProgressionAsis Palazon, Petros A Tyrakis, David Macias, et al.
Iscience|July 14, 2022
Using deep learning to detect patients at risk for prostate cancer despite benign biopsiesBojing Liu, Yinxi Wang, Philippe Weitz, et al.
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