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Does machine learning have a role in the prediction of asthma in children?

Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify child…

The measurement properties of tests and tools used in cystic fibrosis studies: a systematic review

There is no consensus on how best to measure responses to interventions among children and adults with cystic fibrosis (CF). We have systematically r…

Surfactant protein disorders in childhood interstitial lung disease

Surfactant, which was first identified in the 1920s, is pivotal to lower the surface tension in alveoli of the lungs and helps to lower the work of b…

Increased nasal Streptococcus pneumoniae presence in Western environment associated with allergic conditions in Chinese immigrants

Chinese immigrants living in Australia experience increased allergic conditions: asthma, eczema, hay fever and wheeze. Recently we reported diminishe…

Prevalence of chronic wet cough, protracted bacterial bronchitis (PBB) and middle ear disease in the Kimberley

This project aims to determine the prevalence of chronic wet cough, PBB and middle ear disease in Aboriginal children in Aboriginal communities in th…

Metabolomics to predict asthma in children (MAP Study)

Childhood asthma begins as wheeze (a whistling sound produced by the airways during breathing) during pre­school age.

Aboriginal and Torres Strait Islander Partnerships to Prevent Permanent Lung Disease (APPLE Study)

In partnership with Aboriginal health services, Government agencies and communities, we will develop and implement evidence-based strategies to impro…

BREATH (Building Respiratory Equity for Aboriginal and Torres Strait Islander Health)

Our team aims to optimise lung health early in life to ensure the best possible health outcomes later in life.