Endocrinology

Menopause

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

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Double hit! A unique case of resistant hypertension.

A middle-aged woman with obesity, hyperlipidaemia and diet-controlled diabetes was referred for resi...

Prevalence and Disparities in Tobacco Product Use Among American Indians/Alaska Natives - United States, 2010-2015.

An overarching goal of Healthy People 2020 is to achieve health equity, eliminate disparities, and i...

Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.

BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is beli...

The role of cinnamon as a modulator of the expression of genes related to antioxidant activity and lipid metabolism of laying quails.

Since cinnamon has vitamins and minerals in addition to antioxidants compounds in its chemical compo...

Sacubitril/Valsartan in an Elderly Patient with Heart Failure: A Case Report.

Sacubitril/valsartan has recently been approved for the treatment of heart failure with reduced ejec...

Cognitive sequelae of endocrine therapy in women treated for breast cancer: a meta-analysis.

PURPOSE: Evidence suggests anti-estrogen endocrine therapy (ET) is associated with adverse cognitive...

Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs.

OBJECTIVE: We introduce a structural-lexical approach for auditing SNOMED CT using a combination of ...

Non-Islet Cell Tumor Hypoglycemia: A Rare Cause of Hypoglycemia in Pulmonary Sarcomatoid Cancer.

Non-islet cell tumor hypoglycemia (NICTH) is a rare paraneoplastic condition caused most commonly by...

Combinative treatment of phenol-rich retting-pond wastewater by a hybrid upflow anaerobic sludge blanket reactor and solar photofenton process.

In this study, recalcitrant rich retting-pond wastewater was treated primarily by anaerobic treatmen...

A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.

BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through exte...

A novel post-processing scheme for two-dimensional electrical impedance tomography based on artificial neural networks.

OBJECTIVE: Electrical Impedance Tomography (EIT) is a powerful non-invasive technique for imaging ap...

Learning non-linear patch embeddings with neural networks for label fusion.

In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atl...

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conven...

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor...

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