AI-Powered Insights: Predicting Treatment Response and Prognosis in Breast Cancer

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ORIGINAL RESEARCH

Published on 21 May 2025

External validation of the Oncotype DX breast cancer recurrence score nomogram and development and validation of a novel machine learning-based model to predict postoperative overall survival and guide adjuvant chemotherapy in ER positive, Her-2 negative breast cancer patients: a retrospective cohort study

Dongdong Wang
Xinfeng Wang
Xin Yang

doi 10.3389/fonc.2025.1586262

295 views

CASE REPORT

Accepted on 16 May 2025

Multiple drug resistance caused by germline mutation of exon 27 of BRCA2 gene in triple-negative breast cancer: a case report and literature review

Yuting Li
Guojie Xu
Liling Zhang
Kewei Zhao
Yanxia Zhao
Dan Han

doi 10.3389/fonc.2025.1602870

ORIGINAL RESEARCH

Published on 14 May 2025

Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models

Minfang Wang
Wanjun Chen
Ruiping Ren
Yuanwei Lin
Jiawen Tang
Meng Wu

doi 10.3389/fonc.2025.1586715

409 views

ORIGINAL RESEARCH

Accepted on 07 May 2025

Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine

Yutong Fang
Rongji Zheng
Yefeng Xiao
Qunchen Zhang
Junpeng Liu
Jun-dong Wu

doi 10.3389/fimmu.2025.1581982

ORIGINAL RESEARCH

Accepted on 29 Apr 2025

AI-AUGMENTED PATHOLOGY: THE EXPERIENCE OF TRANSFER LEARNING AND INTRA-DOMAIN DATA DIVERSITY IN BREAST CANCER METASTASIS DETECTION

Manuel Cossio
Nina Wiedemann
Esther Sanfeliu Torres
Esther Barnadas Sole
Laura Igual

doi 10.3389/fonc.2025.1598289

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Frontiers in Oncology

Frontiers in Oncology

Breast Cancer

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