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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.

Child Health Analytics

Our Child Health Analytics Team uses cutting-edge technologies to better understand how and why the health and wellbeing of children varies from place to place. We develop innovative geospatial methods that can harness large, complex datasets to pinpoint hotspots of elevated risk, evaluate change through time, and explore underlying drivers.

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.

Global Disease Modelling

The Global Disease Modelling group informs development and implementation of drugs, medical treatments and non-medical interventions to effectively tackle disease. They build mathematical models of diseases, designed to take into account the complex constellation of interactions between pathogens, humans, diseases, the environment and entire healthcare systems.