AIMC Topic: Breast Neoplasms

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A review of the use of tumour DNA methylation for breast cancer subtyping and prediction of outcomes.

Clinical epigenetics Jul 2, 2025
DNA methylation in breast tumours has been extensively studied and has provided valuable insights into the clinical heterogeneity of breast cancer. In this review, we summarise the current literature that has used DNA methylation markers to subtype b...
Machine Learning Prognosis Female Humans DNA Methylation Breast Neoplasms Receptors, Estrogen Biomarkers, Tumor Genome-Wide Association Study
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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Scientific reports Jul 2, 2025
Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concern of women. Breast cancer etiology implicates numerous cellular protein receptors such as estrogen receptors (ER), progesterone receptors (PR), and hu...
Support Vector Machine Receptor, ErbB-2 Gene Regulatory Networks Gene Expression Regulation, Neoplastic Triple Negative Breast Neoplasms Prognosis Female Breast Neoplasms Biomarkers, Tumor Gene Expression Profiling Transcriptome Humans
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Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports Jul 2, 2025
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big...
Humans Female Breast Neoplasms Early Detection of Cancer Machine Learning Algorithms Prognosis
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

Scientific reports Jul 2, 2025
In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine...
Breast Neoplasms Early Detection of Cancer Humans Dimensionality Reduction Neural Networks, Computer Machine Learning Algorithms Female
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

Scientific reports Jul 1, 2025
Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical...
Mammography Image Processing, Computer-Assisted Early Detection of Cancer Female Humans Breast Neoplasms Neural Networks, Computer Deep Learning Algorithms
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An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model.

Scientific reports Jul 1, 2025
The expansion rate of medical data during the past ten years has rapidly expanded due to the vast fields. The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficien...
Machine Learning Algorithms Female Fuzzy Logic Breast Neoplasms Humans Wavelet Analysis Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Uncovering subtype-specific metabolic signatures in breast cancer through multimodal integration, attention-based deep learning, and self-organizing maps.

Scientific reports Jul 1, 2025
This study integrates multimodal metabolomic data from three platforms-LC-MS, GC-MS, and NMR-to systematically identify biomarkers distinguishing breast cancer subtypes. A feedforward attention-based deep learning model effectively selected 99 signif...
Deep Learning Metabolomics Metabolome Female Breast Neoplasms Humans Biomarkers, Tumor
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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images.

Scientific reports Jul 1, 2025
Convolutional Neural Networks (CNNs), a sophisticated deep learning technique, have proven highly effective in identifying and classifying abnormalities related to various diseases. The manual classification of these is a hectic and time-consuming pr...
Fetus Ultrasonography, Prenatal Deep Learning Image Processing, Computer-Assisted Female Breast Neoplasms Humans Neural Networks, Computer Pregnancy
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Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.

Nature communications Jul 1, 2025
Accurate risk stratification is critical for guiding treatment decisions in early breast cancer. We present an artificial intelligence (AI)-based tool that analyzes digitized tumor slides to predict 5-year metastasis-free survival (MFS) in patients w...
Deep Learning Neoplasm Recurrence, Local Neoplasm Metastasis Breast Neoplasms Middle Aged Risk Assessment Receptor, ErbB-2 Receptors, Estrogen Humans Prognosis Female Aged Adult
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3Mont: A multi-omics integrative tool for breast cancer subtype stratification.

PloS one Jun 27, 2025
Breast Cancer (BRCA) is a heterogeneous disease, and it is one of the most prevalent cancer types among women. Developing effective treatment strategies that address diverse types of BRCA is crucial. Notably, among different BRCA molecular sub-types,...
Algorithms Breast Neoplasms Humans Multiomics Prognosis Biomarkers, Tumor Machine Learning Female Genomics
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