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The algorithm that was tested against moderate exercise and an overreading glucose sensor performed well in terms of hypoglycemia avoidance
A national collaboration was formed to provide longitudinal collection of T1D patient characteristics and outcomes, the Australasian Diabetes Data Network
The aim of this study was to determine the efficacy of this algorithm in the prevention of exercise-induced hypoglycemia under in-clinic conditions
The aim of this study was to determine whether predictive low glucose management (PLGM) system is effective in preventing insulin-induced hypoglycemia
This study aimed to determine the incidence and incidence rate trends of type 1 diabetes mellitus in children aged 0–14 years...
This editorial response addresses each of the concerns raised by Lin et al. RE: Risk Factors for Decline in IQ in Youth With Type 1 Diabetes Over the 12...
This study used a prototype algorithm to look at the feasibility of home use insulin pump hardware (MiniMed 670G) for improved insulin delivery.
Every decision a child with type 1 diabetes makes can impact on their blood glucose levels.
When Jodie and Brad Scott welcomed their fourth child Heath into the world, they were prepared for the many sleepless nights that come with caring for newborns.
Diabetes research got a huge boost when the WA Children’s Diabetes Research and Education Centre for Research Excellence opened late last year.