clinicaladvisor.com

Proactive Care Model Reduces Inpatient Glucose Levels, Nosocomial Infections

An electronic, specialist-led, proactive diabetes intervention model reduced blood glucose levels and nosocomial infection incidence among surgical inpatients. Early diabetes management with an ...
TCTMD

AI in the ICU: Algorithm Aims to Guide Glucose Control After Cardiac Surgery

For patients recovering after cardiac surgery, a new algorithm based on artificial intelligence (AI) could streamline the process of tracking shifts in glucose and adjusting insulin accordingly, ...
EurekAlert!

A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data

CGMformer is first self-supervised pretrained on CGM data to gain fundamental knowledge of the glucose dynamics, and then applied to a multitude of downstream clinical applications. The extractable ...
Morningstar

Jeonbuk National University Researchers Develop an AI Model For Personalized Blood Glucose Monitoring

The hybrid model integrates three components to address key challenges and was rigorously evaluated, paving way for accurate blood glucose prediction JEONBUK-DO, South Korea, March 9, 2026 /PRNewswire ...
Business Wire

Know Labs Demonstrates Improved Accuracy of Machine Learning Model for Non-Invasive Glucose Monitor

SEATTLE--(BUSINESS WIRE)--Know Labs, Inc. (NYSE American: KNW) today announced results from a new study titled, “Novel data preprocessing techniques in an expanded dataset improve machine learning ...
Medical Xpress

AI model enables personalized blood glucose predictions for type one diabetes

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...