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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.

Investigating mortality rates and the incidence and risk factors of diabetes complications and co-morbidities during early adult life in a population based childhood onset diabetes cohort

Using the WA Data Linkage System to provide information of the incidence and relative risk of T1D co-morbidities and mortality during early adulthood.

Perioperative Medicine

The vision of the Perioperative Medicine Team is to make discoveries that will improve children’s perioperative care and lead to global practice change.

Respiratory Environmental Health

The Respiratory Environmental Health team conducts research in early life determinants of lung growth and development, respiratory environmental health, and mechanisms of airway dysfunction in asthma and other respiratory disease.

Translational Genomics in Leukaemia

The Translational Genomics in Leukaemia team is focused on identifying the causes of leukaemia, with the goal of developing new targeted treatments to improve quality of care and long-term survival for all children with leukaemia.

Geospatial and Tuberculosis (GeoTB)

The Geospatial and Tuberculosis (GeoTB) team led by Kefyalew Alene focuses on designing an innovative approach for improving the efficiency and effectiveness of public health interventions to help control and ultimately eliminate tuberculosis in high-burden countries.

Infectious Disease Ecology and Modelling

The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis and COVID-19 – and provide rapid modelling analyses to policy makers.