Latest AI and machine learning research in diabetes for healthcare professionals.
Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utiliz...
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...
OBJECTIVE: This study investigated EEG microstate dynamics in trigeminal neuralgia (TN) patients to ...
Prediabetes represents an early stage of glucose metabolism disorder with significant public health ...
PURPOSE: To evaluate and quantify diabetes-related retinal and choroid perfusion changes in individu...
The association between obesity and cancer risk carries substantial public health ramifications as o...
INTRODUCTION: Diabetes mellitus (DM) and associated comorbidities correspond to female infertility b...
OBJECTIVE: This study aims to investigate the molecular mechanisms by which quercetin facilitates th...
BACKGROUND: This study investigated the cost-effectiveness and clinical impact of the 3E model (educ...
α-Glucosidase is a key enzyme responsible for controlling the blood glucose, making a pivotal target...
11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the t...
Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progr...
BACKGROUND: Diabetic osteoporosis (DOP) can cause abnormal brain neural activity, but its mechanism ...
Dose-limiting toxicities pose a major barrier to cancer treatment. While preclinical studies show th...
Generative adversarial networks (GANs), introduced by Ian Goodfellow in 2014, have revolutionized ad...
Continuous monitoring of glucose levels is important for diabetes management and prevention. While t...
This study developed a new Cellular Omics-Structural Integration (COSI) technology platform to addre...
BACKGROUND: Diabetic kidney disease (DKD) is one of the most significant complications in diabetic p...