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

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ORIGINAL RESEARCH

Published on 13 Oct 2025

Machine learning algorithms for individualized prediction of prognosis in breast cancer liver metastases and the prognostic impact of primary tumor surgery: a multicenter study

Chunmei Chen
Jundong Wu
Bo Xu
Weiwen Li
Chengming Zhong
Zhibing Yan
Qipeng Zhong
Ronggang Li
Mingtao Shao
3 more
Qunchen Zhang

doi 10.3389/fendo.2025.1656191

717 views

ORIGINAL RESEARCH

Accepted on 06 Oct 2025

Machine Learning Model for Predicting Epidermal Growth Factor Receptor Expression Status in Breast Cancer Using Ultrasound Radiomics

Zhirong Xu
Jiayi Ye
Huohu Zhong
Jiemin Chen
Han Wang
Xiaoqian Zhang
Guorong Lyu
Shanshan Su

doi 10.3389/fonc.2025.1683164

121 views

CASE REPORT

Accepted on 29 Sep 2025

Exceptional responses to Trastuzumab Deruxtecan in HER2-positive breast cancer: two illustrative case reports

Zelmira Ballatore
Helene Vanacker
Rita Chiari
Thomas Bachelot

doi 10.3389/fonc.2025.1647018

261 views

SYSTEMATIC REVIEW

Published on 29 Sep 2025

Effect of mindfulness-based stress on cancer-related fatigue in breast cancer patients: a systematic review and meta-analysis

Xiong Wang
Lei Gao
Yuqi Pang
Ting Huang

doi 10.3389/fonc.2025.1585383

546 views

ORIGINAL RESEARCH

Accepted on 19 Sep 2025

Predicting Breast Cancer Treatment Response and Prognosis using AI-Based Image Classification

Wei Li

doi 10.3389/fonc.2025.1619994

662 views

REVIEW

Published on 12 Sep 2025

Artificial intelligence integrates multi-omics data for precision stratification and drug resistance prediction in breast cancer

Deshui Ran
Jing Li
Mengmeng Zhao
Li Du
Yang Zhang
Jida Zhu

doi 10.3389/fonc.2025.1612474

2,563 views

ORIGINAL RESEARCH

Published on 09 Sep 2025

Construction of a prediction model for axillary lymph node metastasis in breast cancer patients based on a multimodal fusion strategy of ultrasound and pathological images

Lingli Peng
Lan Yu
Beibei Liu
Feixiang Xiang
Yu Wu

doi 10.3389/fonc.2025.1591858

643 views

ORIGINAL RESEARCH

Published on 17 Jul 2025

Integrating single-cell regulatory atlas and multi-omics data for differential treatment response and multimodal predictive modeling in CDK 4/6 inhibitor-treated breast cancer

Li Yan
Sijie Chen
Ran Ran
Shidi Zhao
Jing Huang
Jin Yang

doi 10.3389/fonc.2025.1585574

1,703 views

CASE REPORT

Published on 19 Jun 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

1,079 views
1 citation

ORIGINAL RESEARCH

Published on 11 Jun 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

1,211 views

ORIGINAL RESEARCH

Published on 27 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
Jundong Wu

doi 10.3389/fimmu.2025.1581982

2,742 views

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

1,412 views

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Frontiers in Oncology

Breast Cancer

Participating Journals

Frontiers in Endocrinology
- Cancer Endocrinology
- 4.6 impact factor
- 7.4 citescore

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Articles

Machine learning algorithms for individualized prediction of prognosis in breast cancer liver metastases and the prognostic impact of primary tumor surgery: a multicenter study

Machine Learning Model for Predicting Epidermal Growth Factor Receptor Expression Status in Breast Cancer Using Ultrasound Radiomics

Exceptional responses to Trastuzumab Deruxtecan in HER2-positive breast cancer: two illustrative case reports

Effect of mindfulness-based stress on cancer-related fatigue in breast cancer patients: a systematic review and meta-analysis

Predicting Breast Cancer Treatment Response and Prognosis using AI-Based Image Classification

Artificial intelligence integrates multi-omics data for precision stratification and drug resistance prediction in breast cancer

Construction of a prediction model for axillary lymph node metastasis in breast cancer patients based on a multimodal fusion strategy of ultrasound and pathological images

Integrating single-cell regulatory atlas and multi-omics data for differential treatment response and multimodal predictive modeling in CDK 4/6 inhibitor-treated breast cancer

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

AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection

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

Frontiers in Oncology

Breast Cancer

Participating Journals

Frontiers in Endocrinology

Cancer Endocrinology