Latest AI and machine learning research in diabetes for healthcare professionals.
Adults and children with cerebral cavernous malformations (CCMs) are at risk of experiencing lifelon...
This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLU...
To assess the rate of retinal vascularisation derived from ultra-widefield (UWF) imaging-based retin...
Parkinson’s disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...
Diabetic retinopathy (DR) screening in low- and middle-income countries (LMICs) faces challenges due...
Chronic Myeloid Leukemia (CML) progresses through chronic, accelerated, and blast crisis phases, mak...
Large language models (LLMs) enhanced with Graph Retrieval-Augmented Generation (GRAG) are promising...
Large language models have gained significant public awareness since ChatGPT’s release in 2022. This...
Artificial intelligence (AI) foundation models for colour fundus photography (CFP) have been extensi...
In the US, pre-diabetes and diabetes are increasing in prevalence alongside other chronic diseases. ...
Glycosylation plays a critical role in protein function and disease progression, including diabetes ...
Type 1 Diabetes (T1D) is a T-cell mediated disease with a strong immunogenetic HLA dependence. HLA a...
Early identification of individuals at high risk for aneurysms, particularly ruptured aneurysms, is ...
A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment risks a...
Depression often goes unrecognized in individuals at risk or living with diabetes, presenting consid...
Fatigue is common but mostly untreated in type 2 diabetes, since it requires a diagnostic workup whi...
Gestational diabetes mellitus (GDM), a heritable metabolic disorder and the most common pregnancy-re...
In-context learning, a prompt-based learning mechanism that enables multimodal foundation models to ...
Develop a neighborhood-level framework using machine learning and causal inference to identify socio...
Spine age estimated from lateral spine radiographs and DXA vertebral fracture assessments (VFAs) cou...
This study aimed to evaluate the impact of socioeconomic disparities on the allocation of second-lin...