AIMC Topic: Breast Neoplasms

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Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

Technology in cancer research & treatment Apr 17, 2025
IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography...
Contrast Media Ultrasonography Axilla ROC Curve Mammography Lymph Nodes Machine Learning Ultrasonography, Mammary Lymphatic Metastasis Humans Retrospective Studies Adult Female Breast Neoplasms Aged Middle Aged
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An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer.

Technology in cancer research & treatment Apr 17, 2025
IntroductionTumor-infiltrating lymphocytes (TILs) are key indicators of immune response and prognosis in breast cancer (BC). Accurate prediction of TIL levels is essential for guiding personalized treatment strategies. This study aimed to develop and...
Humans Machine Learning Prognosis Retrospective Studies Lymphocytes, Tumor-Infiltrating Middle Aged Ultrasonography ROC Curve Female Nomograms Aged Adult Breast Neoplasms
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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.

Scientific reports Apr 16, 2025
In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, lever...
Female Breast Neoplasms Confidentiality Privacy Humans Machine Learning Information Dissemination Computer Security Federated Learning
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Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer.

Frontiers in immunology Apr 16, 2025
BACKGROUND: Breast cancer is the most common malignancy in women globally, with significant heterogeneity affecting prognosis and treatment. RNA-binding proteins play vital roles in tumor progression, yet their prognostic potential remains unclear. T...
Humans Biomarkers, Tumor RNA-Binding Proteins Prognosis Artificial Intelligence Female Gene Expression Regulation, Neoplastic Gene Expression Profiling Machine Learning Breast Neoplasms Transcriptome Tumor Microenvironment Single-Cell Analysis
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A Multi-Omics-Based Prognostic Model for Elderly Breast Cancer by Machine Learning: Insights From Hypoxia and Immunity of Tumor Microenvironment.

Clinical breast cancer Apr 15, 2025
INTRODUCTION: Older adult breast cancer (OABC) patients (≥ 65 years) frequently experience poorer prognoses compared to younger adults, attributed to complex tumor biology and age-related factors. The present study employs a multiomics approach combi...
Prognosis Female Aged Adult Humans Machine Learning Multiomics Gene Expression Regulation, Neoplastic DNA Copy Number Variations Tumor Hypoxia Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Middle Aged
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An integrated approach of feature selection and machine learning for early detection of breast cancer.

Scientific reports Apr 15, 2025
Breast cancer ranks among the most prevalent cancers in women globally, with its treatment efficacy heavily reliant on the early identification and diagnosis of the disease. The importance of early detection and diagnosis cannot be overstated in enha...
Breast Neoplasms Support Vector Machine Early Detection of Cancer Machine Learning Algorithms Female Humans
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Multiple instance learning-based prediction of programmed death-ligand 1 (PD-L1) expression from hematoxylin and eosin (H&E)-stained histopathological images in breast cancer.

PeerJ Apr 15, 2025
Programmed death-ligand 1 (PD-L1) is an important biomarker increasingly used as a predictive marker in breast cancer immunotherapy. Immunohistochemical quantification remains the standard method for assessment. However, it presents challenges relate...
Deep Learning B7-H1 Antigen Staining and Labeling Immunohistochemistry Reproducibility of Results Breast Neoplasms Biomarkers, Tumor Eosine Yellowish-(YS) Humans Hematoxylin Female Multiple-Instance Learning Algorithms
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Sonopermeation combined with stroma normalization enables complete cure using nano-immunotherapy in murine breast tumors.

Journal of controlled release : official journal of the Controlled Release Society Apr 14, 2025
Nano-immunotherapy shows great promise in improving patient outcomes, as seen in advanced triple-negative breast cancer, but it does not cure the disease, with median survival under two years. Therefore, understanding resistance mechanisms and develo...
Combined Modality Therapy Female Ultrasonic Therapy Breast Neoplasms Tumor Microenvironment Animals Cell Line, Tumor Humans Mice Immunotherapy Nanoparticles
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Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines.

BMC cancer Apr 14, 2025
BACKGROUND: The relationship between cytokines and lung metastasis (LM) in breast cancer (BC) remains unclear and current clinical methods for identifying breast cancer lung metastasis (BCLM) lack precision, thus underscoring the need for an accurate...
Humans Female Risk Factors Aged Adult Machine Learning Algorithms Cytokines Retrospective Studies ROC Curve Breast Neoplasms Lung Neoplasms Middle Aged Nomograms Risk Assessment
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Integrating Machine Learning and Bulk and Single-Cell RNA Sequencing to Decipher Diverse Cell Death Patterns for Predicting the Prognosis of Neoadjuvant Chemotherapy in Breast Cancer.

International journal of molecular sciences Apr 13, 2025
Breast cancer (BRCA) continues to pose a serious risk to women's health worldwide. Neoadjuvant chemotherapy (NAC) is a critical treatment strategy. Nevertheless, the heterogeneity in treatment outcomes necessitates the identification of reliable biom...
Neoadjuvant Therapy Humans Cell Death Machine Learning Female Single-Cell Analysis Prognosis Breast Neoplasms Sequence Analysis, RNA Biomarkers, Tumor Gene Expression Regulation, Neoplastic Middle Aged
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