Is blood sugar monitoring without diabetes worthwhile? - Harvard Health

Here's an ad you haven't seen, but it could be coming soon: A man jogs along a dirt path meandering through idyllic countryside. He pauses at an overlook and glances down at his cellphone. The phone screen flashes a number, telling him his blood sugar is normal. He smiles and resumes his run. What's different about this ad, you wonder? The jogger doesn't have diabetes. So, how does his phone know his blood sugar? And why, in the middle of a run, does he want to know the result? Read on. Several companies are working hard to make this sort of ad a reality, as they begin marketing implantable blood sugar measuring devices to people without diabetes. Called continuous glucose monitoring systems, or CGMs, they are often used by people with diabetes. These companies could reap enormous profits by convincing healthy people without diabetes (or other blood sugar problems) to start monitoring blood sugar. You may be interested in... CGMs use tiny sensor wires, or filaments, that pierce the ski

April 23, 2024 By Robert H. Shmerling, MD , Senior Faculty Editor, Harvard Health Publishing; Editorial Advisory Board Member, Harvard Health Publishing Share {} }" > Share this page to Facebook Share this page to X Share this page via Email { this.copied = true; setTimeout(() => this.copied = false, 1000); }); } }" > Copy this page to clipboard Print This Page Click to Print Here's an ad you haven't seen, but it could be coming soon: A man jogs along a dirt path meandering through idyllic countryside. He pauses at an overlook and glances down at his cellphone. The phone screen flashes a numbe

related reading

• Can continuous glucose monitors benefit people without diabetes? - Breakthrough T1Dbreakthrought1d.org
• Why don’t we screen healthy people to catch diseases early? | Out-Of-Pocketoutofpocket.health
• Some Sugar Substitutes Affect Blood Glucose and Gut Bacteria | Scientific Americanscientificamerican.com
• Does Glycemic Variability Impact Mood and Quality of Life? - PMCncbi.nlm.nih.gov
• Checking your browser - reCAPTCHAncbi.nlm.nih.gov
• Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes - PubMedpubmed.ncbi.nlm.nih.gov
• The UK Prospective Diabetes Study (UKPDS): clinical and therapeutic implications for type 2 diabetes - PMCncbi.nlm.nih.gov
• Startup Ideas · Gwern.netgwern.net
• Towards passive heart health monitoring via smartphone cameraresearch.google
• If GLP-1 Drugs Are Good For Everything, Should We All Be on Them?derekthompson.org
• Body Count | STANFORD magazinestanfordmag.org
• An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus | IEEE Conference Publication | IEEE Xploreieeexplore.ieee.org