Numerous genetic studies have identified many risk variants for type 2 diabetes (T2D)—but which genes and proteins are ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Abstract: In recent years, diabetes has become more prevalent due to unhealthy lifestyles, obesity, and other factors. Diabetes is a chronic and dangerous disease due to its major complications that ...

[28 January 2026]: Roche Diagnostics Middle East presented a landmark launch event revealing Accu-Chek SmartGuide, a ...

Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Abstract: Diabetes is one of the chronic diseases that causes blood sugar levels to rise. If diabetes is left untreated and undiagnosed, it can lead to complications. The time-consuming identification ...

In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...