Search

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.

The definition of asthma remission in children: A scoping review by the WAO Paediatric Asthma Committee

Asthma remission has emerged as a potential therapeutic goal. However, definitions of remission have primarily focused on adult populations, with limited consensus on how remission should be defined in children.

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

Complete genome sequence of Burkholderia cenocepacia bacteriophage Karil-mokiny-1

Burkholderia cepacia complex causes life-threatening respiratory infections. Here, a bacteriophage with activity against B. cenocepacia was isolated from wastewater. It has a genome size of 70,144 bp and has the taxonomic classification Irusalimvirus. It has no genes associated with lysogeny, bacterial resistance, or virulence. 

Assessing Clinical Deterioration in Children With Dark-Coloured Skin: A Scoping Review

Background: Signs of clinical deterioration may appear differently in children with dark-coloured skin. How to assess children in this cohort is currently poorly defined. Aim: To explore available information on the assessment of clinical deterioration in children with dark-coloured skin and identify research deficits.

Treatment with inhaled aerosolised ethanol reduces viral load and potentiates macrophage responses in an established influenza mouse model

Treatment options for viral lung infections are currently limited. We aimed to explore the safety and efficacy of inhaled ethanol in an influenza-infection mouse model.