Endocrinology

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

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Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes.

AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabete...

A pre-trained convolutional neural network based method for thyroid nodule diagnosis.

In ultrasound images, most thyroid nodules are in heterogeneous appearances with various internal co...

Adaptations to excess choline in insulin resistant and Pcyt2 deficient skeletal muscle.

It was hypothesized that choline supplementation in insulin resistant (IR) CTP:phosphoethanolamine c...

Combined thioflavin T-Congo red fluorescence assay for amyloid fibril detection.

Fluorescence represents one of the most powerful tools for the detection and structural characteriza...

Adaptive PID control based on orthogonal endocrine neural networks.

A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this pa...

Temporal changes in plasma markers of oxidative stress following laparoscopic sleeve gastrectomy in subjects with impaired glucose regulation.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associat...

Anti-inflammatory and anti-insulin resistance activities of aqueous extract from .

This study investigated biological activities including antioxidative stress, anti-inflammation, and...

inhibits the absorption and synthesis of cholesterol .

BACKGROUND: (SN) has many nutritional benefits and it is commonly used to ameliorate different huma...

Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.

Neural networks (NNs), in general, and multi-layer perceptron (MLP), in particular, represent one of...

Neuro-endocrine effects of aqueous extract of (Linn.) leaf in male Wistar rat model of cyclophosphamide-induced reproductive toxicity.

Cyclophosphamide (CP) is a widely used cytotoxic alkylating agent with antitumor and immunosuppressa...

Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

BACKGROUND: To find out whether children with type 1 diabetes accept a humanoid robot as an assistan...

Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.

BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 ...

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of ...

Prediction of selective estrogen receptor beta agonist using open data and machine learning approach.

BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regu...

Confirming an integrated pathology of diabetes and its complications by molecular biomarker-target network analysis.

Despite ongoing research into diabetes and its complications, the underlying molecular associations ...

Effects of Fish Oil Supplementation on Gestational Diabetes Mellitus (GDM): A Systematic Review.

CONTEXT: One of the most common complications of pregnancy is gestational diabetes mellitus (GDM), w...

Diagnosis of Diabetes Mellitus by Extraction of Morphological Features of Red Blood Cells Using an Artificial Neural Network.

Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to ins...

Effect of cranberry () oligosaccharides on the formation of advanced glycation end-products.

The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several ...

Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes.

Hypoglycemia is a very common in type 1 diabetic persons and can occur at any age. It is always thre...

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