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Read about the research fellows at the Children's Diabetes Centre, Martin de Bock, Aveni Hayes, Ashleigh Lin and Marie-Anne Burckhardt.
News & Events
Research Boost for Diabetes Team at Princess Margaret HospitalAfter an intensely competitive process, the research team at Princess Margaret Hospital were awarded $5.2million from a joint JDRF/NHMRC research grant.
Research
Age at diagnosis of birth defectsMany birth defects surveillance programs ascertain cases of birth defects diagnosed beyond 1 year of age.
Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.
Research
Is sport an untapped resource for recovery from first episode psychosis? A narrative review and call to actionSport-based interventions could be an opportunity to provide intervention to individuals recovering from their first psychotic episode
News & Events
Combating glucose rises after meals - new studyParticipants are needed for a new Children's Diabates Centre study looking at the patterns in glucose rise after meals.
News & Events
Family’s fundraising efforts a hole-in-oneWhen Meghan Bunter’s daughter was first diagnosed with diabetes, she felt overwhelmed not only with Ella’s diagnosis but also the flood of donation requests.
Research
Efficacy of infant simulator programmes to prevent teenage pregnancy: a school-based cluster randomised controlled trial in Western AustraliaThe infant simulator-based Virtual Infant Parenting programme did not achieve its aim of reducing teenage pregnancy
News & Events
Advanced hybrid closed loop in paediatric population technology studyOur researchers are looking for young children with type 1 diabetes who are using an insulin pump, to take part in the advanced hybrid closed loop in paediatric (HyCLIP) population study.
Research
An evaluation of GPT models for phenotype concept recognitionClinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field.