Latest AI and machine learning research in diabetes for healthcare professionals.
AIMS: To develop a machine learning model for predicting rapid kidney function decline in people wit...
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to ide...
BACKGROUND AND OBJECTIVE: The aim of this study was to develop and validate explainable prediction m...
AIM: To identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN...
BACKGROUND: Globally, pre-eclampsia (PE) is a leading cause of maternal and perinatal morbidity and ...
AIMS: This study aims to compare the performance of contemporary machine learning models with statis...
In the wake of growing concerns regarding diet-related health issues, this study investigates the ap...
The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diab...
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotroph...
BACKGROUND: Chemotherapy-induced peripheral neuropathy (CIPN) is a serious therapy-limiting side eff...
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...
Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patient...
SNNs are gaining popularity in AI research as a low-power alternative in deep learning due to their ...
Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...
BACKGROUND: Imbalanced datasets pose significant challenges in predictive modeling, leading to biase...
Diabetes is thought to be the most common illness in underdeveloped nations. Early detection and com...
BACKGROUND: In the age of big data, linked social and administrative health data in combination with...
For individuals diagnosed with diabetes mellitus, it is crucial to keep a record of the carbohydrate...
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral de...
Deep learning-based models for predicting blood glucose levels in diabetic patients can facilitate p...
BACKGROUND: Continuous glucose monitoring (CGM) systems allow detailed assessment of postprandial gl...