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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 children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.

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 breathing and prevents atelectasis. Surfactant proteins, such as surfactant protein B and surfactant protein C, contribute to function and stability of surfactant film.

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.

Adaption and implementation of Aboriginal child lung health tools for northern Western Australia

André Schultz MBChB, PhD, FRACP Head, BREATH Team Head, BREATH Team Prof André Schultz is the Head, BREATH Team at The Kids Research Institute

Kids Easy Breathing Study

As both bronchiolitis and bronchiectasis are diseases of the airway surface, we will comprehensively study the airway surface and factors affecting the airway surface in infants hospitalised with bronchiolitis.

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.

Personal network inference identifies children at risk of recurrent wheezing and asthma

Wheezing and asthma exacerbations are leading causes of pediatric hospital admissions. Predicting which children will experience persistent exacerbations remains challenging. Prior research has identified immune endotypes in the nasal epithelium of children with acute asthma and wheezing, characterized by varying balances of interferons and inflammatory markers. Notably, children exhibiting low interferon responses coupled with high inflammation are at an increased risk for recurrent respiratory exacerbations.

Understanding Otitis Media Among Aboriginal Children in the Kimberley Region of Western Australia: An Opportunity to Improve Health Outcomes

To assess the prevalence, clinical features and treatment of otitis media (OM) among Aboriginal children in the Kimberley region of Western Australia, and to determine if a correlation exists between OM and protracted bacterial bronchitis.

The Determinants to Effective Diagnosis and Management of Otitis Media in Aboriginal Children in Primary Care From the Perspective of Health Care Practitioners

To identify the barriers and facilitators for timely detection and optimal management of otitis media in Aboriginal children in a primary care setting from the perspective of Health Care Providers 

Genome-Guided Discovery and Heterologous Biosynthesis of Alkylresorcinols by Collaborating Highly Reducing and Type III Polyketide Synthases

Citation: Arishi AA, Holland DC, Bracegirdle J, …… Garratt LW, Mantjani L, Moggach SA, et al. Genome-Guided Discovery and Heterologous Biosynthesis