Endocrinology

Menopause

Latest AI and machine learning research in menopause for healthcare professionals.

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Bird sound spectrogram decomposition through Non-Negative Matrix Factorization for the acoustic classification of bird species.

Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been base...

AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue.

In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen recept...

Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants.

Disease and trait-associated variants represent a tiny minority of all known genetic variation, and ...

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning.

Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macula...

Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in d...

Medical image classification based on multi-scale non-negative sparse coding.

With the rapid development of modern medical imaging technology, medical image classification has be...

Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjögren's Syndrome and Non-Autoimmune Sicca Symptoms.

OBJECTIVES: This study aims to describe salivary beta-2 microglobulin (sB2M) levels in our setting a...

Prediction of marker genes associated with hypertension by bioinformatics analyses.

This study aimed to explore the underlying marker genes associated with hypertension by bioinformati...

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their h...

Radiofrequency Ablation Followed by Percutaneous Ethanol Ablation Leading to Long-Term Remission of Hyperparathyroidism.

A 30-year-old male with cerebral palsy and motor impairment presented with right femur fracture. He ...

An automatic non-invasive method for Parkinson's disease classification.

BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is at...

An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs...

MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.

Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone ...

PlantRNA_Sniffer: A SVM-Based Workflow to Predict Long Intergenic Non-Coding RNAs in Plants.

Non-coding RNAs (ncRNAs) constitute an important set of transcripts produced in the cells of organis...

Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.

Post-translational modifications (PTMs) provide an extensible framework for regulation of protein be...

A retrospective study on screening and management of osteoporosis in breast cancer women treated with aromatase inhibitors in Libya.

Negative health effects of aromatase inhibitors (AI) treatments on bones such as osteoporosis are ev...

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