
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?
An experiment with Large Language Models. How well do they provide advice on diabetes issues?
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.
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 […]
Firstly, sorry Sting for misappropriating your lyrics, but they seemed to be a good fit. So why would I mention Red Light in the title […]
For the first time, an oral add-on treatment, Dapagliflozin (aka Forxiga from Astra Zeneca) has received regulatory approval for managing type 1 diabetes. While this […]
World Diabetes Day 2018. The day that NHS England had enough. The announcement If you hadn’t seen it, NHS England issued a press release early […]
Back in early October the CGM Royal Rumble kicked off. Four CGM systems, located in their manufacturer recommended locations on the body and using their […]
Abbott’s Freestyle Libre 2. Newly announced at EASD2018. Introducing bluetooth connectivity and real-time alarms.
It’s hard not to have seen the recent Twitter and blog campaign that came about as the result of Grumpy Pumper’s diagnosis of a foot […]
So then. It’s official. After three long years, the Dexcom G6, with its new insertion device has been released. Complete with lower profile, calibration free […]
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