Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

Introduction Diabetes, a major cause of premature mortality and complications, affects
millions globally, with its prevalence increasing due to lifestyle factors and aging …

Background: Despite abundant evidence demonstrating the benefits of continuous glucose
monitoring (CGM) in diabetes management, a significant proportion of people using this …

Abstract Case-Based Reasoning (CBR) is a methodology with many applications in
industrial and scientific domains. Over the past decades, various frameworks have been …

Postprandial glucose control can be challenging for individuals with type 1 diabetes, and
this can be attributed to many factors, including suboptimal therapy parameters …

The integration of artificial intelligence (AI) into diabetes care holds the potential to transform
patient management and improve outcomes, especially in Malaysia, where diabetes …

Abstract Type 1 diabetes (T1D) is a chronic disease that requires those who live with it to
regularly administer exogenous insulin to maintain blood glucose (BG) within a safe range …

Purpose: Type 2 diabetes is one of the most important metabolic disorders that different
societies are facing with increasing prevalence. Aerobic exercises are a common type of …