Endocrinology

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

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Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

The identification of indicators for severe HFMD is critical for early prevention and control of the...

Synthesis and Biological Evaluations of Ring Substituted Tetrahydroisoquinolines (THIQs) as Anti-Breast Cancer Agents.

Breast cancer is a leading cause of mortality among women, resulting in more than half a million dea...

Vitamin D Treatment in Patients with Hashimoto's Thyroiditis may Decrease the Development of Hypothyroidism.

The relationship between Hashimoto's thyroiditis and vitamin D has been demonstrated in several stud...

A Novel Case of Somatic Mutation in Pediatric-Onset Aldosterone-Producing Adenoma.

Aldosterone-producing adenoma (APA), a subtype of primary aldosteronism, is a common cause of second...

Defining and characterizing the critical transition state prior to the type 2 diabetes disease.

BACKGROUND: Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications,...

Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases.

Full-text scientific articles are increasingly available, but capturing the meaning conveyed within ...

Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.

Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardi...

Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

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

Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy.

PURPOSE: Disease staging involves the assessment of disease severity or progression and is used for ...

NIRCa: An artificial neural network-based insulin resistance calculator.

BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome...

Data mining and pathway analysis of glucose-6-phosphate dehydrogenase with natural language processing.

Human glucose-6-phosphate dehydrogenase (G6PD) is a crucial enzyme in the pentose phosphate pathway,...

Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images.

BACKGROUND: Spectral domain optical coherence tomography (OCT) (SD-OCT) is most widely imaging equip...

Insulin Resistance, Hyperinsulinemia, and Mitochondria Dysfunction in Nonobese Girls With Polycystic Ovarian Syndrome.

OBJECTIVE: Obese girls with polycystic ovarian syndrome (PCOS) have decreased insulin sensitivity (I...

Artificial Intelligence Methodologies and Their Application to Diabetes.

In the past decade diabetes management has been transformed by the addition of continuous glucose mo...

Prediction of marker genes associated with hypertension by bioinformatics analyses.

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

Investigations of severity level measurements for diabetic macular oedema using machine learning algorithms.

BACKGROUND: The macula is an important part of the human visual system and is responsible for clear ...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...

Selective Arterial Calcium Stimulation With Hepatic Venous Sampling in Immune-Mediated Hypoglycemia.

The purpose of the current study was to review the biochemical results of selective arterial calcium...

Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks.

BACKGROUND: The independent role of mild autonomous cortisol secretion (ACS) in influencing the card...

Deep image mining for diabetic retinopathy screening.

Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large ...

In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.

Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is vi...

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