AIMC Topic: Breast Neoplasms

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MobNas ensembled model for breast cancer prediction.

Scientific reports May 25, 2025
Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial progress has been made in developing machine learning ...
Algorithms Female Breast Neoplasms Deep Learning Humans Machine Learning
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MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images.

Medical image analysis May 23, 2025
Invasive breast cancer (IBC) is a prevalent malignant tumor in women, and precise grading plays a pivotal role in ensuring effective treatment and enhancing survival rates. However, accurately grading IBC presents a significant challenge due to its h...
Deep Learning Image Interpretation, Computer-Assisted Humans Neoplasm Invasiveness Female Neoplasm Grading Breast Neoplasms
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Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis.

JMIR cancer May 23, 2025
BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.
Humans Breast Neoplasms Artificial Intelligence Cluster Analysis Retrospective Studies Machine Learning Medical Oncology Female Geriatrics Prognosis Aged Multivariate Analysis Aged, 80 and over
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Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.

Scientific reports May 22, 2025
Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in improving therapeutic outcomes, and many machine lea...
Models, Biological Drug Synergism Antineoplastic Agents Signal Transduction Random Forest Humans Machine Learning Female Breast Neoplasms
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Imputing single-cell protein abundance in multiplex tissue imaging.

Nature communications May 22, 2025
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss, and probe failure. Here, we apply machine learning to impute single-cell protein abundance using m...
Humans Deep Learning Single-Cell Analysis Image Processing, Computer-Assisted Proteomics Machine Learning Female Breast Neoplasms
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Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

Cancer biomarkers : section A of Disease markers May 21, 2025
BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) survival biomarkers need to be further explored.ObjectiveThis study aimed to investigate C-C motif chemokine receptor type 5 (CCR5) prognosis value in ...
Contrast Media Receptors, CCR5 Adult Dynamic Contrast Enhanced Magnetic Resonance Imaging Biomarkers, Tumor Prognosis Humans Breast Neoplasms Middle Aged Female Machine Learning Radiomics Support Vector Machine Aged Algorithms
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Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm.

PloS one May 20, 2025
Breast cancer remains a major cause of mortality among women globally, driving the need for advanced therapeutic solutions. This study presents a novel, comprehensive methodology integrating explainable artificial intelligence (AI), machine learning ...
Antineoplastic Agents Estrogen Receptor alpha Algorithms Female Breast Neoplasms Humans Artificial Intelligence Machine Learning
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Preoperative DBT-based radiomics for predicting axillary lymph node metastasis in breast cancer: a multi-center study.

BMC medical imaging May 19, 2025
BACKGROUND: In the prognosis of breast cancer, the status of axillary lymph nodes (ALN) is critically important. While traditional axillary lymph node dissection (ALND) provides comprehensive information, it is associated with high risks. Sentinel ly...
Middle Aged Lymph Nodes Lymphatic Metastasis Humans Feasibility Studies Adult Preoperative Care Sentinel Lymph Node Biopsy Breast Neoplasms Axilla Retrospective Studies Radiomics Female Mammography Aged
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Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.

Scientific reports May 19, 2025
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailored with low-rank adaptation (LoRA) strategies, in segmenting breast tumors in Automated Breast Ultrasound (ABUS) images. This retrospective study colle...
Adult Breast Neoplasms Middle Aged Ultrasonography, Mammary Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Humans Retrospective Studies Image Processing, Computer-Assisted Algorithms Female Aged
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Gene expression and agent-based modeling improve precision prognosis in breast cancer.

Scientific reports May 16, 2025
Breast cancer survival is hard to predict because of the complex ways genes and cells interact. This study offers a new method to improve these predictions by combining gene expression profiling (GEP) with agent-based modeling (ABM). First, GEP will ...
Humans Precision Medicine Prognosis Female Models, Biological Gene Expression Regulation, Neoplastic Breast Neoplasms Models, Theoretical Gene Expression Profiling
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