Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: Accurate fasting plasma glucose (FPG) trend prediction is important for management and t...
OBJECTIVE: To evaluate the effect of intravenous lidocaine injection on the half-maximum effective c...
Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prev...
AIMS: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retino...
PPG signals are a new means of non-invasive detection of blood glucose, but there are still shortcom...
INTRODUCTION: Calcific aortic valve disease (CAVD) is increasingly prevalent among the aging populat...
Therapeutic proteins, the fastest growing class of pharmaceuticals, are subject to rapid proteolytic...
Nocturnal hypoglycemia is a critical problem faced by diabetic patients. Failure to intervene in tim...
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the ...
BACKGROUND: Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifacete...
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring th...
Thyroid diseases, including functional and neoplastic diseases, bring a huge burden to people's heal...
BACKGROUND: Glucocorticoid-induced adrenal insufficiency (GIAI) is a hypothalamic-pituitary-adrenal ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity ...
Pre-training strategies based on self-supervised learning (SSL) have demonstrated success as pretext...
Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathop...
PURPOSE: Thyroid eye disease (TED) primarily occurs in hyperthyroid patients, sometimes resulting in...
Endocrine-disrupting chemicals (EDCs) pollution is a major global environmental issue. Assessing the...
Leydig cells play a crucial role in male reproductive physiology, and their dysfunction is often ass...
This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in ...
One of the health challenges in the 21st century is to rethink approaches to non-communicable diseas...