Despite major advances over the past decade, prevention and treatment of type 1 diabetes
mellitus (T1DM) remain suboptimal, with large and unexplained variations in individual …

Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

During the progression of type 1 diabetes (T1D), β cells are exposed to significant stress
and, therefore, require adaptive responses to survive. The adaptive mechanisms that can …

The historical subclassification of diabetes into predominantly types 1 and 2 is well
appreciated to inadequately capture the heterogeneity seen in patient presentations …

Although multiple pancreatic islet single-cell RNA-sequencing (scRNA-seq) datasets have
been generated, a consensus on pancreatic cell states in development, homeostasis and …

It is increasingly recognized that interacting with nature promotes well-being and health for
both adults and children. Less is known about the role of nature in people's everyday lives …

Fat accumulation in the liver, pancreas, skeletal muscle, and visceral bed relates to type 2
diabetes (T2D). However, the distribution of fat among these compartments is heterogenous …

Objectives Clinical notes are a veritable treasure trove of information on a patient's disease
progression, medical history, and treatment plans, yet are locked in secured databases …

Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations,
trajectories, and outcomes. The aim of this study is to validate a novel machine learning …

Type 2 diabetes (T2D) is a heterogenous disease, and conventionally, peripheral insulin
resistance (IR) was thought to precede islet β-cell dysfunction, promoting progression from …