Continuous glucose monitoring provides a new, less invasive method for evaluating diabetes risk. Fluctuations in blood ...

Scientists from the University of California San Diego and Washington University School of Medicine in St. Louis have ...

Continuous glucose monitoring can now spot early diabetes risks, offering a non-invasive alternative to traditional blood ...

In a country where diabetes affects over 77 million individuals, early detection of diabetic complications ... allowing for efficient data collection and analysis. Ayati Devices envisions ...

By letting algorithms handle ... with a clear goal—"enhance data accuracy, governance, and real-time insights" through AI/ML. In practice, this means using intelligent models to deduplicate ...

Their approach, based on continuous glucose monitoring (CGM) data, could improve early detection and risk assessment for ... The team analyzed 64 individuals without a prior diabetes diagnosis, using ...

One of the newer methods they are using involves targeting USB flash drives. It may seem surprising that they would focus on something as simple as a flash drive, but the data it holds can be ...

Remote Fault Monitoring and Detection Concept ... techniques such as machine learning and neural networks. These techniques involve the ability to learn using training data without being explicitly ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

According to the researchers, analysing AC_Var is a more effective early type 2 diabetes detection tool than OGTT, fasting blood glucose tests and HbA1c tests. Professor Kuroda said: “By analysing CGM ...