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Directing immune development to curb sky-rocketing diseaseOnce upon a time it was infectious diseases like polio, measles or tuberculosis that most worried parents. With these threats now largely under control, parents face a new challenge – sky-rocketing rates of non-infectious diseases such as asthma, allergies and autism.
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Hypoglycemia alarm enhancement using data fusionThe acceptance of closed-loop blood glucose (BG) control using continuous glucose monitoring systems (CGMS) is likely to improve.
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Acceptance and Commitment Therapy (ACT) intervention in adolescents with type 1 diabetes: A pilot and feasibility studyA considerable proportion of patients with type 1 diabetes (T1D) experience emotional problems due to the continual demands of the disease, which may persist throughout life without appropriate support. The aim of this study was to assess the feasibility and acceptability of an Acceptance and Commitment Therapy (ACT) intervention and provide early indications of its capacity to impact psychosocial outcomes for adolescents with T1D.
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Closed Loop Study - MulticentreA Closed-Loop System will potentially have a major impact upon acute and chronic complications of diabetes as well as upon their quality of life
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Western Australian DNA and Longitudinal Serum Bank for Weight RegulationThis resource will allow researchers to carry out studies which will look at the genetic causes of excessive weight gain and identify biomarkers
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Can exercise training Improve health in young people with type 2 diabetes?We are studying exercise in young people with T2DM and obese young people at risk of developing type 2 diabetes
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National Hybrid Closed-Loop Outpatient TrialThe national Hybrid Closed-Loop Outpatient Trial will test the use of an automated insulin delivery system to see if it is better at optimising blood glucose levels than standard therapy.
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New ZealandType 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
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Dietary patterns during pregnancy and maternal and birth outcomes in women with type 1 diabetes: the Environmental Determinants of Islet Autoimmunity (ENDIA) studyDietary patterns characterised by high intakes of vegetables may lower the risk of pre-eclampsia and premature birth in the general population. The effect of dietary patterns in women with type 1 diabetes, who have an increased risk of complications in pregnancy, is not known.