Why is the cheese sandwich the downfall of AI carb counting, even with “3D scanning”?
A slightly rhetorical question, I’ll admit, but a pertinent one. Once again, I have been trying out the latest (read most heavily pushed on Facebook […]
Diabetes
100% Insulin Independence: Why Eledon’s Breakthrough is a Pillar, Not a Cure
Eledon Pharmaceuticals recently achieved 100% insulin independence in an early-phase islet transplant trial using its anti-CD40L drug, tegoprubart. It’s a massive step forward in transplant immunology that avoids the toxicity of standard drugs. But why isn’t it a cure yet, and how does it fit into the actual blueprint of a functional cure?
Explore a Decade of Diabetes Insights with Diabettech AI
After 10+ years of documenting the diabetes landscape, Diabettech is launching diabettech.ai—a custom research tool designed to help you navigate a decade’s worth of articles and reports. Powered by an LLM interface, this tool allows you to “interrogate” the site’s data to find specific answers on everything from cures to n=1 observations.
Key highlights of the beta launch:
Targeted Accuracy: Built to stick strictly to Diabettech articles and comments to minimize “hallucinations.”
Research-Focused: Optimized as a precision tool rather than a standard chatbot to provide relevant article links.
Sustainable Design: Privately funded and optimized for efficiency to manage resource costs and query speeds.
Ready to dive into the archives? Visit diabettech.ai to start your research and share your feedback on the beta experience.
Now We Know What a Type 1 Cure Could Look Like
The Type 1 cure is no longer theoretical. Human data now points to a blueprint: working cells, immune evasion, and durable immune modulation.
What If Type 1 Diabetes Was Treatable — If You Found It Early Enough?
For most of its history, type 1 diabetes (T1D) has been diagnosed late. By the time symptoms appear, the autoimmune destruction of pancreatic beta cells […]
ChatGPT Health: Promise, Practicality, and the Reality for People with Diabetes
Artificial intelligence has been hovering around diabetes care for a while now, usually wrapped in glossy demos and ambitious claims. Carb-counting apps that “just work”. […]
Beyond Snaq-qing. Digesting your glucose patterns.
I spent a long time discussing Snaq’s use of AI for food recognition in the previous article. In this one, I’m looking at what it […]
In conversation with…. How effective are large language models at giving diabetes advice?
An experiment with Large Language Models. How well do they provide advice on diabetes issues?
Diabetes and Data. What more can we learn? Part 1.
Extracting data from smartwatches and other devices presents an opportunity like never beforento observe the relationship between behaviour and diabetes outcomes. This n=1 investigation strives to start the process off and highkight how some behaviours interact with Diabetes management.
Accessing Real Time CGM in London. The unfair fairground?
London. A city of 10 million people, 32 boroughs, five Integrated care systems (ICS), and probably 66,000 people with type 1 diabetes. London. Also a […]