A UAB pathology study reveals Bmal1 as an unexpected driver of diabetic vascular calcification, linking circadian signaling ...

But in 2026, anyone can buy a user-friendly wearable device that provides minute-by-minute readouts on how their glucose levels respond to food and movement. These glucose numbers are increasingly ...

Sam Altman announces a $100M Alzheimer’s research fund, highlighting AI’s potential to enable faster diagnosis and treatment ...

UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...

Artificial intelligence is changing how we understand and manage nutrition, from personalizing diets to predicting health risks. By combining wearable tech, multi-omics data, and machine learning, ...

The Clinical Decision Support System Market Size is expected to be worth around US$ 16.2 Billion by 2034 from US$ 5.8 Billion in 2024.

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for Type 1 diabetes. Cord blood is often tossed out during the birthing process ...

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

USANewsGroup.comNews Commentary – The global AI cardiology market is on track to hit $2.78 billion this year and climb past $14 billion by 2034, and the reason is straightforward: software is ...

This study externally validated a machine learning–based model for type 2 diabetes progression (ML-PR) and evaluated its clinical utility in individuals with prediabetes. We included 3,081 ...

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...