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Feasibility of 24-hour hybrid closed loop insulin delivery in free living conditions

The aim of this study is to see if the Medtronic hybrid closed loop system, a portable artificial pancreas is feasibly to use in the home.

Closed Loop Study - Multicentre

A Closed-Loop System will potentially have a major impact upon acute and chronic complications of diabetes as well as upon their quality of life

Predictive low glucose suspend study – Randomised Controlled trial

Testing a feature of the MiniMed 640G insulin pump, which when used together with a real-time continuous glucose sensor can suspend and resume insulin delivery

How do high protein and/or high fat meals affect postprandial glycaemic control in children using intensive insulin therapy?

Investigating the effect of fat and protein content of a standardised carbohydrate meal on the post-prandial glycaemic response in children with type 1 diabetes

TrialNet: Pathway to Prevention

This study is helping us to learn how type 1 diabetes develop and ways to delay and prevent it.

School experience studies

Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.

Diabetes

Diabetes is the name for a number of different metabolic disorders in which the body's healthy levels of blood sugar (glucose) can't be maintained.Diabetes can have a significant impact on quality of life should complications develop. Diabetes can affect the individual's entire body.

Digital health interventions for improving mental health outcomes and wellbeing for adults with diabetes: A systematic review

Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness of digital health interventions in improving mental health outcomes among adults with diabetes, as well as assess the methodological quality of relevant studies and provide a commentary on research gaps and future directions.

A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications and future directions

To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.