Latest AI and machine learning research in diabetes for healthcare professionals.
Background: Although diabetes is a potent risk factor for the development of peripheral artery disea...
Purpose: To investigate how artificial intelligence (AI) systems detect referrable diabetic retinopa...
Offline reinforcement learning (ORL) offers the potential to improve the quality of clinical decisio...
Pharmacological interventions targeting the biological processes of ageing hold significant potentia...
Glucose forecasting algorithms are an important aspect of glycemic control management in type 1 diab...
Chronic disease management relies on regular patient-provider interactions to follow-up on disease p...
Multiphasic contrast-enhanced CT (CECT) is widely used for abdominal lesion characterization, yet it...
Dysglycemia, encompassing both prediabetes and diabetes, affects huge numbers of adults worldwide, y...
Translating high-dimensional, spatially resolved molecular datasets into testable biological finding...
Drug repurposing, the application of approved or shelved compounds to new therapeutic indications, o...
Patients diagnosed with type 2 diabetes (T2D) are at increased risk of developing cardiovascular dis...
Type 2 Diabetes (T2D) poses an increasing global health threat, demanding effective glycemic assessm...
Background. Type 2 diabetes mellitus (T2D) is defined by progressive pancreatic {beta}-cell dysfunct...
Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD...
Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evid...
Human pancreatic islets exhibit greater anatomic and cellular heterogeneity than previously apprecia...
Postprandial hyperglycemia is a key risk factor for metabolic disorders; however, existing dietary g...
Background Machine learning (ML) models are increasingly used to predict adverse outcomes after surg...
Continuous glucose monitoring (CGM) enables personalized metabolic health support, but forecasting g...
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with athe...
Objective To develop clinically operational, population-representative risk-score models for detecti...