Latest AI and machine learning research in diabetes for healthcare professionals.
IgA nephropathy (IgAN) is a leading cause of kidney failure with diverse clinical presentations and ...
The heterogeneous course of IgA nephropathy limits risk stratification based on static markers. We s...
To develop and evaluate a novel self-supervised learning approach using Masked Autoencoder (MAE) pre...
Patients with diabetes undergoing hemodialysis (HD) are at risk of asymptomatic hypo- and hypergly-c...
To determine if combining PET-derived beta-cell mass (BCM) estimates with MRI- based morphology metr...
Accurate medical image classification is critical for early diagnosis and effective treatment planni...
Limited information linking dietary intake to gut metagenomic data in bariatric surgery patients is ...
Metformin has been increasingly used off-label in adolescents with type 1 diabetes (T1D) or prediabe...
Diabetic retinopathy (DR) is a primary microvascular complication of diabetes. Its pathogenesis is a...
Closed-loop insulin delivery systems have proven effective in regulating blood glucose (BG) concentr...
Diabetic macular oedema (DME) is a vision-threatening complication of diabetes mellitus. It is relia...
Deep learning has shown promise in diabetic retinopathy screening using fundus images. However, many...
Type 2 diabetes is a wide-spread chronic condition in which blood glucose and body weight management...
Pelvic floor dysfunction (PFD) is a highly prevalent and heterogeneous condition among women. The tr...
Preterm birth is a syndrome that is triggered by diverse biological pathways and presents with many ...
Diabetes mellitus (DM) is a major risk factor for acquiring infections. Metformin, the first-line tr...
Accurate and reliable medical image classification is critical for clinical decision-making across d...
High-throughput proteomics data provides dense individual-level molecular readouts, enabling the dev...
Arterial aging, marked by progressive vascular stiffening, is a contributor to cardiovascular diseas...
Standard LDL-C equations were derived in cohorts largely untreated with modern combination diabetes ...
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but t...