AIMC Topic: Breast Neoplasms

Clear Filters Showing 41 to 50 of 2157 articles

AI-assisted diffuse correlation tomography for identifying breast cancer.

Journal of biomedical optics May 16, 2025
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, whereas its capability to categorize benign and malignant breast lesions has not been extensively validate...
Humans Middle Aged Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted Tomography Aged Adult Breast Neoplasms Artificial Intelligence Algorithms Female
View on PubMed DOI

A potential new strategy for BC treatment: NPs containing solanine and evaluation of its anticancer and antimetastatic properties.

BMC cancer May 12, 2025
Solanine has been shown to inhibit cancer by regulating the expression of apoptosis (Bax, Bcl-2) and metastasis (CDH-1, MMP2) genes in various cancer cell types. We synthesized optimized niosome NPs (NPs) with high solubility and capacity for solanin...
Humans Solanine MCF-7 Cells Cell Line, Tumor Female Liposomes Cell Proliferation Nanoparticles Breast Neoplasms Cell Cycle Checkpoints Apoptosis Antineoplastic Agents
View on PubMed DOI

Efficacy and safety of first-line CDK4/6 inhibitors plus AI therapy for patients with HR +/HER2- advanced breast cancer: a network meta-analysis.

BMC cancer May 8, 2025
BACKGROUND: CDK4/6 inhibitors plus aromatase inhibitors (AI) significantly improve the therapeutic effect of initial treatment for HR + /HER2- advanced breast cancer. However, there is a lack of head-to-head randomized controlled trials involving the...
Network Meta-Analysis as Topic Aminopyridines Receptors, Progesterone Cyclin-Dependent Kinase 4 Cyclin-Dependent Kinase 6 Progression-Free Survival Antineoplastic Combined Chemotherapy Protocols Humans Receptors, Estrogen Receptor, ErbB-2 Protein Kinase Inhibitors Treatment Outcome Female Benzimidazoles Aromatase Inhibitors Randomized Controlled Trials as Topic Purines Breast Neoplasms
View on PubMed DOI

BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because of its quantitative imaging capability of the speed of sound (SOS) of soft tissues and the fact that malignant breast lesions often have a higher SOS c...
Breast Neoplasms Ultrasonography Image Processing, Computer-Assisted Breast Phantoms, Imaging Algorithms Tomography, X-Ray Computed Female Humans Neural Networks, Computer
View on PubMed DOI

Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

BMC cancer May 6, 2025
Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced computational approaches for precise disease classification. This study introduces a Deep Reinforcement Learning (DRL)-based framework for predicting nc...
Metaplasia Breast Neoplasms Biomarkers, Tumor Deep Learning RNA, Long Noncoding Humans RNA, Untranslated Computational Biology Prognosis Support Vector Machine Female
View on PubMed DOI

Supervised Information Mining From Weakly Paired Images for Breast IHC Virtual Staining.

IEEE transactions on medical imaging May 6, 2025
Immunohistochemistry (IHC) examination is essential to determine the tumour subtypes, provide key prognostic factors, and develop personalized treatment plans for breast cancer. However, compared to Hematoxylin and Eosin (H&E) staining, the preparati...
Data Mining Image Interpretation, Computer-Assisted Immunohistochemistry Breast Neoplasms Breast Supervised Machine Learning Humans Female
View on PubMed DOI

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction.

IEEE journal of biomedical and health informatics May 6, 2025
Breast cancer is a pervasive global health concern among women. Leveraging multimodal data from enterprise patient databases-including Picture Archiving and Communication Systems (PACS) and Electronic Health Records (EHRs)-holds promise for improving...
Humans Breast Neoplasms Deep Learning Mammography Databases, Factual Electronic Health Records Female
View on PubMed DOI

Statistical algorithms for the analysis of deleterious genetic mutations.

Bio Systems Apr 30, 2025
We present algorithms for model selection and parameter estimation concerning deleterious genetic mutations. Three models are considered: single gene mutation, double cross-effect mutations or no genetic cause. Each of these models include unknown pa...
Models, Genetic Models, Statistical Ovarian Neoplasms Mutation Computer Simulation Female Breast Neoplasms Humans Algorithms
View on PubMed DOI

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Biochemical and biophysical research communications Apr 26, 2025
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor Receptor 2 (HER2) proteins play a vital role in regulating normal breast cell development and divisio...
Female Breast Neoplasms Image Processing, Computer-Assisted Receptor, ErbB-2 Humans Neural Networks, Computer Algorithms
View on PubMed DOI

A deep learning-based multimodal medical imaging model for breast cancer screening.

Scientific reports Apr 26, 2025
In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast cancer prediction models based on multimodal medic...
Aged Adult Sensitivity and Specificity Deep Learning ROC Curve Breast Neoplasms Middle Aged Humans Female Area Under Curve Early Detection of Cancer Mammography Multimodal Imaging
View on PubMed DOI
Popular Topics
Recent Journals