The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

Introduction Poor adherence to risk factor control and life-saving medications is a key factor affecting long-term patient ...

The thriving market in online, counterfeit GLP-1 drugs that do not meet FDA criteria poses serious risks to consumers.

A new study using an advanced "digital twin" artificial intelligence model has found that factors such as loneliness, ...

Dozens of unexpected genes are strongly linked to type 2 diabetes, new research from The Jackson Laboratory (JAX) shows. The ...

Researchers identify 4 distinct gestational diabetes phenotypes with unique risks for preeclampsia, NICU admission, and postpartum diabetes.

A majority of people who start the obesity and diabetes medicines known as GLP-1s also quit them, and plan to restart again.

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...

Iron plays an important role in metabolic regulation, influencing pathways involved in glucose homeostasis, insulin sensitivity, and the development of type ...

Aim: Socioeconomic disparities significantly influence the risk of loneliness among community-dwelling older adults. This study investigates the impact of inequalities i ...