Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...

General practice in the UK has undergone significant digital transformation, with cloud-based EHR systems replacing legacy on ...

Sweat is turning into one of medicine’s most revealing data streams, and artificial intelligence is learning how to read it. Instead of relying only on blood draws or implanted devices, researchers ...

Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...

Smoking, vaping, or using both products significantly increases the likelihood of developing prediabetes and diabetes, and the risk is even higher among Hispanic, Black, and low-income groups.

Abstract: This research aims to classify diabetes patients using machine learning algorithms, with a particular focus on the Hoeffding Tree model. The study utilizes a dataset comprising 256,380 ...

An AI-powered lifestyle intervention app for prediabetes reduced the risk of diabetes similarly to traditional, human-led programs in adults in a recent study, researchers from Johns Hopkins Medicine ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

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MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...