Endocrinology

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

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Calcitonin Screening in Nodular Thyroid Disease: Is There a Definitive Answer?

INTRODUCTION: Calcitonin (Ctn) is a hormone secreted by thyroid "C" cells and is considered an excel...

Insulin resistance and adrenal incidentalomas: A bidirectional relationship.

An adrenal incidentaloma (AI) is an adrenal mass incidentally found via a radiological modality, ind...

Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.

Software testing of knowledge-based clinical decision support systems is challenging, labor intensiv...

Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative tex...

Novel indolizine derivatives lowers blood glucose levels in streptozotocin-induced diabetic rats: A histopathological approach.

BACKGROUND: Diabetes mellitus is a deadly disorder in human which induce chronic complications. The ...

Higher serum levels of fibroblast growth factor 21 in old patients with cachexia.

OBJECTIVE: Fibroblast growth factor (FGF)21 is promptly induced by short fasting in animal models to...

Level of circulating steroid hormones in malaria and cutaneous leishmaniasis: a case control study.

Epidemiological and clinical studies have shown a great difference in the severity and prevalence of...

Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic inde...

High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women.

AIM: To assess the association between high waist-to-hip ratio (WHR) levels and insulin resistance (...

Assessing urinary levels of IL-18, NGAL and albumin creatinine ratio in patients with diabetic nephropathy.

AIMS: Diabetic nephropathy (DN) is a serious microvascular complication of a longstanding hyperglyce...

Production, partial characterization and antioxidant properties of exopolysaccharide α-d-glucan produced by KC117496 isolated from an idli batter.

Exopolysaccharide (EPS) produced from KC117496 isolated from the naturally fermented batter has be...

Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy.

Remarkable advances in biomedical research have led to the generation of large amounts of data. Usin...

The association between serum uric acid to creatinine ratio and renal disease progression in type 2 diabetic patients in Chinese communities.

AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearanc...

Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance.

TOPIC: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes ...

Serum adipocytokines are associated with microalbuminuria in patients with type 1 diabetes and incipient chronic complications.

AIMS: Recent studies have implicated possible contribution of adipocytokines in development and prog...

Circulating betatrophin in relation to metabolic, inflammatory parameters, and oxidative stress in patients with type 2 diabetes mellitus.

AIMS: Recently, it was suggested that betatrophin has a role in controlling pancreatic β cell prolif...

A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Skeletal bone age assessment is a widely used standard procedure in both disease detection and growt...

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