Diabettech - Diabetes and Technology https://validator.w3.org/feed/docs/rss2.html Explore a Decade of Diabetes Insights with Diabettech AI I Asked AI to Count My Carbs 27,000 Times. It Couldn’t Give Me the Same Answer Twice. 100% Insulin Independence: Why Eledon’s Breakthrough is a Pillar, Not a Cure The Daily Bolus: The Triple Agonist Showdown & Surprising GLP-1 Wins in Type 1 Diabetes Diabettech AI The nine sensor samba: Results revealed Blog Posts The Daily Bolus: Et tu, B Cells? Diabettech Introducing The Daily Bolus: Parsing the Signal from the Noise The Daily Bolus: Early Warnings, Genetic Cloaks, and the Seven-Year Shield The Daily Bolus: Retinopathy Pills, Diabetes Risk Watches, and Immune Fixes for Insulin Resistance Notices The Daily Bolus: Mechanism over metrics, biology over dashboards What If Type 1 Diabetes Was Treatable — If You Found It Early Enough? The Daily Bolus: What happened over the weekend? Basal Testing: Single basal rate, variable ISF and CR – feedback A pump update and then… Something changed! CGM: Is “More” always better? Abbott’s Libres. More Data – part 2 The Daily Bolus The Daily Bolus: Interoperability, AI, and Enhanced Glycemic Insights A “twiist” of Fate: Why Sequel is Moving Beyond Tidepool to Embrace Diabeloop Now We Know What a Type 1 Cure Could Look Like ChatGPT Health: Promise, Practicality, and the Reality for People with Diabetes Unauthorised Use of Nine Sensor Samba Data in Commercial Marketing The Nine Sensor Samba — A Sneak Peek at Simultaneous CGM Testing CGM: Is “More” always better? Abbott’s Libres. More Data – part 1 The Nine Sensor Samba: How do the Consensus Error Grids stack up? Beyond Snaq-qing. Digesting your glucose patterns. Beyond Blood Sugar: Could incretins shield against diabetes complications? MARD wars. More craziness in the world of CGM marketing from ATTD Medtronic, Ypsomed, and the Diabetes Device Shake-Up: Spin-Offs, Strategy, and the Future of Diabetes Tech It’s ATTD again, and here’s another CGM accuracy study… Holidays. Even from T1D? It’s been a while… In conversation with… Unpacking the “Why” Behind the Errors In conversation with… Factual questions for Large Language Models In Conversation with…. Reviewing user data and system settings using AI In Conversation with…. Carb Counting with AI: A Deep Dive into How Different Models Stack Up In conversation with…. How effective are large language models at giving diabetes advice? In conversation with… the questions In conversation with… File uploads and interpretation. Where the wheels fall off! GLP1-RAs and Type 1 Diabetes: A retrospective study of incretin-based therapy use with Open Source AID. The Daily Bolus: Red Cell Sponges, Microbiome Signatures, and Cyborg Cells Location, location, location. Does cannula site affect AID performance? CGM: Is “More” always better? CGM: Is “More” always better? Dexcom’s G7. More Accurate Understanding SMB and oref1 GLP1-RAs in Type 1 Diabetes: Dosing and Pharmacokinetics Snaq. A diabetes AI to help you carb count. Badly.