AIMC Topic: Breast Neoplasms

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Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning.

Scientific reports Jun 4, 2025
Breast self-examination is a very cost-reducing approach that significantly decreases the cost burdens associated with medical equipment, fees of healthcare practitioners, transportation to health facilities, and other indirect costs. Furthermore, it...
Middle Aged Africa South of the Sahara Young Adult Adolescent Breast Self-Examination Health Knowledge, Attitudes, Practice Adult Humans Breast Neoplasms Machine Learning Female
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DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform.

Genome biology Jun 3, 2025
The rapid advancements in spatially resolved transcriptomics (SRT) enable the characterization of gene expressions while preserving spatial information. However, high dropout rates and noise hinder accurate spatial domain identification for understan...
Gene Expression Profiling Humans Transcriptome Lymph Nodes Female Deep Learning Fourier Analysis Breast Neoplasms Drosophila Animals
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Intelligent and precise auxiliary diagnosis of breast tumors using deep learning and radiomics.

PloS one Jun 2, 2025
BACKGROUND: Breast cancer is the most common malignant tumor among women worldwide, and early diagnosis is crucial for reducing mortality rates. Traditional diagnostic methods have significant limitations in terms of accuracy and consistency. Imaging...
Ultrasonography, Mammary Humans Artificial Intelligence Female Breast Neoplasms Radiomics Deep Learning
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.

PloS one May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Female Breast Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Humans Algorithms Nonlinear Dynamics Thermography Fractals Support Vector Machine Early Detection of Cancer Breast
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Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features.

EBioMedicine May 28, 2025
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to ipsilateral invasive breast cancer (IBC) but over 75% of DCIS lesions do not progress if untreated. Currently, DCIS that might progress to IBC cannot reliably be identified. Therefore, most ...
Humans Deep Learning Adult ROC Curve Prognosis Neoplasm Recurrence, Local Carcinoma, Intraductal, Noninfiltrating Breast Neoplasms Female Proportional Hazards Models Middle Aged Aged
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The Role of PANoptosis-Related Genes in Predicting Breast Cancer Survival and Immune Prospect.

BioMed research international May 28, 2025
The function of PANoptosis in breast cancer (BC) remains indistinct. We constructed a nomogram model to predict the prognosis of BC to identify high-risk patients and help them receive more accurate treatment. We used Cox regression and least absol...
Female Breast Neoplasms Tumor Microenvironment Humans Prognosis Mutation Survival Analysis Biomarkers, Tumor Gene Expression Regulation, Neoplastic Nomograms
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A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors.

Scientific reports May 27, 2025
Breast cancer remains a leading cause of mortality in women, underscoring the need for timely and accurate diagnosis. This paper addresses this challenge by introducing a comprehensive explainable federated learning framework for breast cancer predic...
Deep Learning Humans Neural Networks, Computer Artificial Intelligence Female Risk Factors Breast Neoplasms
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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 immunology May 27, 2025
BACKGROUND: Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide. Natural killer (NK) cells play a crucial role in the innate immune system and exhibit significant anti-tumor activity. However, the role of NK c...
Transcriptome Tumor Microenvironment Gene Expression Regulation, Neoplastic Biomarkers, Tumor Killer Cells, Natural Gene Expression Profiling Humans Prognosis Machine Learning Female Precision Medicine Breast Neoplasms
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Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.

Frontiers in endocrinology May 27, 2025
BACKGROUND: The most frequent malignant tumor in women is breast cancer (BRCA). It has been discovered that T-cell exhaustion and macrophages play significant roles in BRCA. It was necessary to explore prognostic genes associated with T-cell exhausti...
T-Lymphocytes Gene Expression Regulation, Neoplastic T-Cell Exhaustion Female Breast Neoplasms Biomarkers, Tumor Humans Macrophages Prognosis
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The development of predictive biomarkers and immunologic markers for breast cancer: current status and future perspectives.

Brazilian journal of biology = Revista brasleira de biologia May 26, 2025
Breast cancer is the leading cause of cancer-related mortality among women worldwide. The development of predictive biomarkers and immunologic markers has revolutionized breast cancer diagnosis and treatment, enabling personalized medicine approaches...
Female Breast Neoplasms Biomarkers, Tumor Humans Precision Medicine
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