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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.

A phase I clinical trial assessing the safety, tolerability, and pharmacokinetics of inhaled ethanol in humans as a potential treatment for respiratory tract infections

Current treatments for respiratory infections are severely limited. Ethanol's unique properties including antimicrobial, immunomodulatory, and surfactant-like activity make it a promising candidate treatment for respiratory infections if it can be delivered safely to the airway by inhalation. Here, we explore the safety, tolerability, and pharmacokinetics of inhaled ethanol in a phase I clinical trial.

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.

Characteristics, treatment and lung function outcomes of pulmonary exacerbations in cystic fibrosis: insights from the BEAT-CF cohort

Pulmonary exacerbations pose a significant clinical burden on people with cystic fibrosis (pwCF). Whether management of exacerbations should change in the context of modulator therapy is unclear. We describe the characteristics, treatment and lung function outcomes of pulmonary exacerbations requiring intravenous antibiotic therapy (PERITs) in a contemporary Australian cohort of pwCF, in an era of rapidly broadening access to modulator therapy.