Endocrinology

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

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Sperm quality and its freezing ability throughout the spawning season in Prochilodus lineatus and Brycon orbignyanus.

The aim of this study was to determine fresh and frozen sperm quality evaluated over two spawning se...

Effect of energy balance profiles on metabolic and reproductive response in Holstein and Swedish Red cows.

This study examined the effect of two feeding levels during the antepartum and postpartum period on ...

Caloric restriction and IGF-I administration promote rabbit fecundity: Possible interrelationships and mechanisms of action.

The aim of these in vivo and in vitro studies was to examine the influence of caloric restriction (C...

Impact of laparoscopic ovarian drilling on serum anti-mullerian hormone levels in patients with anovulatory Polycystic Ovarian syndrome.

OBJECTIVES: Anti-mullerian hormone (AMH) is a marker of the activity of recruitable ovarian follicle...

Clinical outcomes and quality of life in hemodialysis diabetic patients versus non-diabetics.

BACKGROUND: Diabetes is the leading cause of end stage renal disease (ESRD) worldwide.

Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on ...

Type 2 gastric neuroendocrine tumor: report of one case.

In this article we reported a female patient with type 2 gastric neuroendocrine tumor (NET). The pat...

Rational Design of a Boron-Modified Triphenylethylene (GLL398) as an Oral Selective Estrogen Receptor Downregulator.

Development of orally bioavailable nonsteroidal selective estrogen receptor downregulators (SERDs) p...

A case of central diabetes insipidus after ketamine infusion during an external to internal carotid artery bypass.

STUDY OBJECTIVE: We report the first teenage case of ketamine-induced transient central diabetes ins...

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

The standard chronic wound assessment method based on visual examination is potentially inaccurate a...

Integration of metabolomics, lipidomics and clinical data using a machine learning method.

BACKGROUND: The recent pandemic of obesity and the metabolic syndrome (MetS) has led to the realisat...

Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neur...

A soft computing approach for diabetes disease classification.

As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. The aim of this study i...

Physiological study on the influence of some plant oils in rats exposed to a sublethal concentration of diazinon.

The present study was aimed to evaluate the influence of olive, sesame and black seed oils on levels...

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