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 ...
UK NHS Cloud Infrastructure and Digital Health 2025 and Transforming Patient Care Through Technology
General practice in the UK has undergone significant digital transformation, with cloud-based EHR systems replacing legacy on ...
Morning Overview on MSN
AI now decodes sweat to spot early signs of disease
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 ...
Patients are being warned to stop using some glucose monitors made by Abbott Diabetes Care after the company found malfunctioning sensors may be linked to hundreds of adverse events and several deaths ...
Share on Pinterest Most Americans would try a plant-based diet to prevent diabetes, a recent poll shows. Image credit: Maria Korneeva/Getty Images New research says people are willing to make dietary ...
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.
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
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 ...
Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...
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, ...
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