Nature

Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms

Fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c) are key indicators reflecting blood glucose control in type 2 diabetes mellitus (T2DM) patients. The purpose of this study is to ...
Healio

Machine learning AI may enhance automated insulin delivery for type 1 diabetes

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Automated insulin delivery can be controlled by a neural ...
Nature

Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data

21 May 2026 Editor's Note: The Editorial team is currently investigating questions raised about the data presented in the article. We will update readers once we have further information and all ...
EurekAlert!

A step closer to painless diabetes care: new glucose sensor uses smart materials and machine learning

Organic electrochemical transistor (OECT), a powerful tool for chemical and biological sensing, can operate directly in aqueous environment at low voltages, which makes it ideal for wearable and ...