AIMC Topic: Breast Neoplasms

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Artificial intelligence predicts multiclass molecular signatures and subtypes directly from breast cancer histology: a multicenter retrospective study.

International journal of surgery (London, England) Apr 1, 2025
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes direct...
Algorithms Prognosis Retrospective Studies Female Humans Artificial Intelligence Deep Learning Breast Neoplasms Biomarkers, Tumor Middle Aged
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Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 31, 2025
BACKGROUND: To perform a systematic review and meta-analysis that assesses the diagnostic performance of deep learning algorithms applied to breast MRI for predicting axillary lymph nodes metastases in patients of breast cancer.
Magnetic Resonance Imaging Deep Learning Axilla Lymph Nodes Humans Lymphatic Metastasis Female Breast Neoplasms
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Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models.

JCO clinical cancer informatics Mar 31, 2025
PURPOSE: This study aims to investigate the impact of tumor quadrant location on the 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models. By integrating these predictive models with Shapley Additiv...
Middle Aged ROC Curve Neoplasm Staging Aged Humans Adult Prognosis Machine Learning Breast Neoplasms Algorithms Female
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Image normalization techniques and their effect on the robustness and predictive power of breast MRI radiomics.

European journal of radiology Mar 30, 2025
BACKGROUND AND PURPOSE: Radiomics analysis has emerged as a promising approach to aid in cancer diagnosis and treatment. However, radiomics research currently lacks standardization, and radiomics features can be highly dependent on acquisition and pr...
Breast Neoplasms Radiomics Triple Negative Breast Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Machine Learning Female
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SGA-Driven feature selection and random forest classification for enhanced breast cancer diagnosis: A comparative study.

Scientific reports Mar 30, 2025
In this study, we propose a novel approach for breast cancer classification that integrates the Seagull Optimization Algorithm (SGA) for feature selection with the Random Forest (RF) classifier for effective data classification. The novelty of our ap...
Humans Computational Biology Support Vector Machine Random Forest Algorithms Female Breast Neoplasms
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Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries.

Scientific reports Mar 28, 2025
The most prevalent malignancy among women is breast cancer; hence, treatment approaches are needed in consideration of tumor characteristics and disease stage but also patient preference. Two surgical options, Mastectomy and Breast Conserving Surgery...
ROC Curve Mastectomy Humans Mastectomy, Segmental Aged Adult Breast Neoplasms Machine Learning Middle Aged Prognosis Female
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Machine learning based intratumor heterogeneity related signature for prognosis and drug sensitivity in breast cancer.

Scientific reports Mar 28, 2025
Intratumor heterogeneity (ITH) is involved in tumor evolution and drug resistance. Drug sensitivity shows discrepancy in different breast cancer (BRCA) patients due to ITH. The genes mediating ITH in BRCA and their role in predicting prognosis and dr...
Prognosis Female Humans Machine Learning Breast Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Tumor Microenvironment Cell Line, Tumor Drug Resistance, Neoplasm Biomarkers, Tumor
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Toward Accurate Deep Learning-Based Prediction of Ki67, ER, PR, and HER2 Status From H&E-Stained Breast Cancer Images.

Applied immunohistochemistry & molecular morphology : AIMM Mar 27, 2025
Despite improvements in machine learning algorithms applied to digital pathology, only moderate accuracy, to predict molecular information from histology alone, has been achieved so far. One of the obstacles is the lack of large data sets to properly...
Immunohistochemistry Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Deep Learning Image Processing, Computer-Assisted Staining and Labeling Ki-67 Antigen Breast Neoplasms Biomarkers, Tumor Humans Female
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Enhancing prediction and stratifying risk: machine learning and bayesian-learning models for catheter-related thrombosis in chemotherapy patients.

BMC cancer Mar 27, 2025
BACKGROUND: Catheter-related thrombosis (CRT) is a serious complication in cancer patients undergoing chemotherapy, yet existing risk prediction models demonstrate limited accuracy. This study aimed to evaluate the clinical utility of machine learnin...
Central Venous Catheters Thrombosis Proportional Hazards Models Antineoplastic Agents ROC Curve Catheterization, Central Venous Bayes Theorem Breast Neoplasms Middle Aged Risk Assessment Humans Machine Learning Retrospective Studies Aged Adult Female Risk Factors
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Discovery and characterization of novel FAK inhibitors for breast cancer therapy via hybrid virtual screening, biological evaluation and molecular dynamics simulations.

Bioorganic chemistry Mar 26, 2025
Focal adhesion kinase (FAK) is a critical drug target implicated in various disease pathways, including hematological malignancies and breast cancer. Therefore, identifying FAK inhibitors with novel scaffolds could offer new opportunities for develop...
Antineoplastic Agents Cell Proliferation Dose-Response Relationship, Drug Drug Screening Assays, Antitumor Breast Neoplasms Molecular Docking Simulation Drug Discovery Drug Evaluation, Preclinical Protein Kinase Inhibitors Focal Adhesion Kinase 1 Focal Adhesion Protein-Tyrosine Kinases Structure-Activity Relationship Molecular Structure Molecular Dynamics Simulation Humans Female
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