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School experience studies

Besides the challenges associated with their teenage years, adolescents with Type 1 Diabetes (T1D) encounter additional challenges of having a chronic condition.

Smooth sailing for Drina thanks to burden-breaking technology

Recent diabetes technology is helping 12-year-old Drina keep on top of her condition and be independent, while significantly easing the disease burden on her family.

Directing immune development to curb sky-rocketing disease

Once 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.

What life is like living with type 1 diabetes

Every decision a child with type 1 diabetes makes can impact on their blood glucose levels.

The effect of oral insulin on subcutaneous insulin requirements and glycaemia in T1DM

Liz Tim Davis Jones MBBS FRACP PhD MBBS DCH FRACP MD Co-director of Children’s Diabetes Centre Co-head, Diabetes and Obesity Research Co-director of

Using continuous glucose monitoring to detect early dysglycaemia in children participating in the ENDIA study (Sub Protocol)

Aveni Liz Haynes Davis BA (Hons), MBBChir, MA (Cantab), PhD MBBS FRACP PhD Principal Research Fellow Co-director of Children’s Diabetes Centre

Indigenous infants in remote Australia retain an ancestral gut microbiome despite encroaching Westernization

Studies of traditional Indigenous compared to 'Western' gut microbiomes are underrepresented, and lacking in young children, limiting knowledge of early-life microbiomes in different cultural contexts. Here we analyze the gut metagenomes of 50 Indigenous Australian infants (median age <one year) living remotely with variable access to Western foods, compared to age- and sex-matched non-Indigenous infants living in urban Australia.

A systematic review of the use of artificial intelligence in mental health–based diabetes care: Current applications and future directions

To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future research directions.