Frequent CGM use ties to bigger A1c drops in type 2 diabetes, even across GLP-1, SGLT2, and insulin regimens. In this episode ...
The Middle East and Africa Continuous Glucose Monitoring (CGM) market is set for growth, driven by increasing diabetes rates, technological advancements, and healthcare awareness. Projected to rise ...
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AI tools reshape CGM data use in diabetes care
Artificial intelligence is increasingly being used to interpret continuous glucose monitoring (CGM) data, turning complex glucose patterns into actionable clinical insights. New guidelines now ...
Keeping tabs on blood sugar throughout the day used to be the exclusive domain of people with diabetes. But in 2026, anyone ...
The S&P 500 fell 0.5% Tuesday from its latest all-time high. The Dow Jones Industrial Average slipped 0.1%, while the Nasdaq composite fell 0.9% from its own record. Chip companies Nvidia and Broadcom ...
MiniMed Group, Inc. (MiniMed; Nasdaq: MMED), a global leader in insulin delivery, announced Health Canada has licensed new ...
Dear Doctor: Is there a difference in how blood test results are calculated from one lab to another?
I’m a 74-year-old male in good health. My lab work has been pretty consistent over several years. My cholesterol level is ...
As supply chains grow more volatile and customer expectations more exacting, logistics is undergoing a profound reinvention.
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ADA backs CGM use from type 2 diabetes diagnosis
The American Diabetes Association’s 2026 Standards of Care now recommend continuous glucose monitoring (CGM) for all newly diagnosed type 2 diabetes patients, expanding its use beyond ...
Senseonics launches Eversense 365 in Europe, debuting the first year-long CGM system as it expands into key markets and ...
The U.S. stock market’s record-breaking rally slowed after uncertainty rose over the weekend about what will happen next in the Iran war. The S&P 500 edged up 0.1% Monday, beating its all-time high ...
Abstract: Recently, many self-supervised pre-training methods have been proposed to improve the performance of deep neural networks (DNNs) for 3D point clouds processing. However, the common mechanism ...
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