Latest AI and machine learning research in diabetes for healthcare professionals.
Alzheimer's disease (AD) biomarkers (Aβ42 or Tau 181) have high diagnostic performance. However, whe...
Osteoarthritis (OA) is a leading cause of disability worldwide, significantly impacting patient mobi...
Universal differential equations (UDEs) are an emerging approach in biomedical systems biology, inte...
Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...
Diabetes mellitus represents a major global health issue, driving the need for noninvasive alternati...
BACKGROUND: Diabetic nephropathy (DN) is a prevalent and serious complication of diabetes, character...
INTRODUCTION: Observational studies have indicated that individuals with hypertension (HTN) and diab...
The accurate prediction of blood glucose is critical for the effective management of diabetes. Moder...
The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases...
OBJECTIVE: To investigate the longitudinal association between diabetes and changes in vertebral bon...
BACKGROUND: A potential link exists between gestational diabetes mellitus (GDM) and polyamines, yet ...
BACKGROUND: Hyperglycemic emergencies are broadly classified into diabetic ketoacidosis and hyperosm...
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irre...
Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and man...
AIM: Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of ...
Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...
BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet i...
OBJECTIVES: The success of artificial intelligence (AI) and machine learning (ML) approaches in biom...
BACKGROUND: Thyroid incidentalomas (TIs) are incidental thyroid lesions detected on fluorodeoxy-d-gl...
Deep learning models for diagnostic applications require large amounts of sensitive patient data, ra...
BACKGROUND: Patients with rheumatoid arthritis (RA) are more likely to comorbid renal diseases, with...