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Research
Diabetes Translational ResearchThe year 2013 saw the progress in our research from purely lab-based studies towards taking a step closer to translational research.
News & Events
Understanding how you manage hyposIf you, or your child is aged between 2 – 18 years and has type 1 diabetes, we invite you to complete a few questions to help us see how you manage your hypos at home.
News & Events
Ready for a sea-faring adventure?Diabetes WA and Leeuwin Ocean Adventure Foundation are on the hunt for two young people aged 16-18 years with type 1 diabetes to participate in the Leeuwin Ocean Adventure Youth Explorer Voyage in the upcoming October school holidays.
News & Events
Have your say!Are you aged 16 to 24 years and live with type 1 diabetes? Do you want to make a difference to the mental health and wellbeing of other young people living with a chronic condition like diabetes, asthma, heart disease, chronic fatigue, chronic pain or an autoimmune disease?
News & Events
Pump newsPump update: New changes to health insurance premiums, pump information evening and more
People living with Type 1 diabetes (T1D) can participate in all forms of physical activity, but it can sometimes be a little more challenging.
Research
Mixed Proteasomes Function To Increase Viral Peptide Diversity and Broaden Antiviral CD8+ T Cell ResponsesMany proteasomes expressed by normal cells and cells exposed to cytokines are "mixed", that is, contain both standard and immunoproteasome subunits.
Research
Trough concentrations of vancomycin: Adult therapeutic targets are not appropriate for ChildrenDespite the need for effective vancomycin therapy, there are few data guiding vancomycin monitoring in children. We reviewed retrospectively vancomycin use...
Research
Age- and height-based prediction bias in spirometry reference equationsPrediction bias in spirometry reference equations can arise from combining equations for different age groups,...
Research
Identifying socio-ecological drivers of common cold in Bhutan: a national surveillance data analysisThe common cold is a leading cause of morbidity and contributes significantly to the health costs in Bhutan. The study utilized multivariate Zero-inflated Poisson regression in a Bayesian framework to identify climatic variability and spatial and temporal patterns of the common cold in Bhutan.