Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: The aims of this study were to demonstrate ventricular function changes in patients with congenital hypothyroidism and to investigate whether there is an association between any such changes and thyroid-stimulating hormone (TSH) levels using M-mode and Doppler electrocardiography (ECG) and tissue Doppler imaging (TDI).
Congenital adrenal hyperplasia (CAH) describes a group of disorders characterized by enzyme defects in adrenal steroidogenesis. 21-hydroxylase deficiency (21-OHD) is the most commonly encountered form. The analysis of steroids in pediatric cases requires high-sensitivity assays. A 14-year-old Syrian girl was referred for evaluation of short stature, amenorrhea, and hirsutism. On physical examinati...
Cushing syndrome due to ectopic secretion of ACTH in infants is rare. The treatment of choice is radical resection of the tumour in combination with p...
OBJECTIVE: To investigate the effects of vitamin D supplement for three months on anthropometric and glucose homeostatic measures in Thai adults with ...
The aim of this study was to investigate whether gestational diabetes mellitus (GDM) is associated with inflammation by comparing serum levels of huma...
The reaction conditions of baicalin hydrolyzed into baicalein by a kind of thermophilic and sugar-tolerant beta-glucosidase were studied in this paper...
We present a new approach to population health, in which data-driven predictive models are learned for outcomes such as type 2 diabetes. Our approach ...
The patient, a 55-year-old man, was diagnosed elsewhere as having cancer of the tail of the pancreas and was referred to our hospital. Abdominal compu...
BACKGROUND: Few studies have shown the limitation of the World Health Organization (WHO)/ International Council for the Control of Iodine Deficiency (...
OBJECTIVE: It is important to identify the possible risk factors for the occurrence of large for gestational age (LGA) in newborns and to determine th...
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed syst...
We are presenting the management of an infected pancreatic fluid collection that occurred six months after distal pancreatectomy in the setting of a r...
Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes assoc...
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large economic burden on healthcare systems. We present a web...
Prediction of the future value of a variable is of central importance in a wide variety of fields, including economy and finance, meteorology, informa...
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samp...
Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true f...
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sino...
We propose an online machine-learning solution to the problem of nonlinear glucose time series prediction in type 1 diabetes. Recently, extreme learni...
BACKGROUND: In search for less invasive operative techniques, the da Vinci Robot System was introduced in thyroid surgery. Previous studies have repor...