Endocrinology

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

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Serum Testosterone Levels Are Negatively Correlated with International Prostate Symptom Score and Transitional Prostate Volume.

OBJECTIVES: To investigate the correlation of serum total testosterone levels with International Pro...

Marginal zone lymphoma: Associated autoimmunity and auto-immune disorders.

Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the ...

The Occurrence of Subclinical Hypercortisolism and Osteoporosis in Patients with Incidentally Discovered Unilateral and Bilateral Adrenal Tumors.

BACKGROUND: Adrenal incidentalomas (AI) are clinically silent adrenal masses that are detected incid...

Association of Osteoprotegerin with Obesity, Insulin Resistance and Non-Alcoholic Fatty Liver Disease in Children.

BACKGROUND: Osteoprotegerin (OPG) is a member of the tumor necrosis factor superfamily. Reduced OPG ...

In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.

BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...

Deep learning for automated skeletal bone age assessment in X-ray images.

Skeletal bone age assessment is a common clinical practice to investigate endocrinology, genetic and...

Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.

Biosensors are small analytical devices incorporating a biological recognition element and a physico...

Effect of combination of Dunal and Linn on letrozole induced polycystic ovarian syndrome in rats.

BACKGROUND: To investigate the effect of the combination of hydroalcoholic extract of (WS) and (TT...

Formulation and stability assessment of ergocalciferol loaded oil-in-water nanoemulsions: Insights of emulsifiers effect on stabilization mechanism.

In the study, we investigated the effect of emulsifiers with different stabilizing mechanisms on the...

Effects of Vitamin D treatment on thyroid autoimmunity.

BACKGROUND: Vitamin D was shown to be related to autoimmune thyroid diseases (AITDs) in the previous...

Resistant starch suppresses postprandial hypertriglyceridemia in rats.

Postprandial increase in blood triglyceride levels is an independent risk factor for coronary artery...

ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic dis...

Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

Statistical models to predict incident diabetes are often based on limited variables. Here we pursue...

Activity Recognition for Diabetic Patients Using a Smartphone.

Diabetes is a disease that has to be managed through appropriate lifestyle. Technology can help with...

Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy is one of the leading disabling chronic diseases and ...

Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients.

This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic s...

Antithyroid drug-associated MPO-ANCA-positive tubulointerstitial nephritis in a type 2 diabetes patient: a case report.

A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil...

A machine learning-based framework to identify type 2 diabetes through electronic health records.

OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Melli...

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