Skip to content
The Kids Research Institute Australia logo
Donate

Search

Research

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.

Research

Investigating the Implications of CFTR Exon Skipping Using a Cftr Exon 9 Deleted Mouse Model

Severity and disease progression in people with Cystic Fibrosis is typically dependent on their genotype. One potential therapeutic strategy for people with specific mutations is exon skipping with antisense oligonucleotides. CFTR exon 9 is an in-frame exon and hence the exclusion of this exon would excise only 31 amino acids but not alter the reading frame of the remaining mRNA.

Research

Lung inflammation and simulated airway resistance in infants with cystic fibrosis

Cystic fibrosis (CF) is characterized by small airway disease; but central airways may also be affected. We hypothesized that airway resistance estimated from computational fluid dynamic (CFD) methodology in infants with CF was higher than controls and that early airway inflammation in infants with CF is associated with airway resistance.

Research

Systems biology and bile acid signalling in microbiome-host interactions in the cystic fibrosis lung

The study of the respiratory microbiota has revealed that the lungs of healthy and diseased individuals harbour distinct microbial communities. Imbalances in these communities can contribute to the pathogenesis of lung disease. How these imbalances occur and establish is largely unknown. This review is focused on the genetically inherited condition of Cystic Fibrosis.

Research

Oscillometry: clinical significance and applications

Respiratory oscillometry (or the forced oscillation technique) is a highly practical lung function test that can be applied in a wide range of clinical scenarios in children and adults, including the clinic, intensive care unit, patient home monitoring and emergency departments. Oscillometry measurements complement spirometry in detecting abnormal lung function, measuring effects of treatment such as inhaled corticosteroids or bronchodilators, and changes due to disease activity.

Research

Can lung disease be averted by focusing on early-life inequities?

Shannon Simpson BMedSci (hons), PhD Head, Strong Beginnings Research, Co-head Foundations of Lung Disease 08 6319 1631 Shannon.simpson@thekids.org.au

Research

Identifying High-Risk Bacteria with Active Nasal Swab Surveillance in Intensive Care Units to Prevent Ventilator-Associated Pneumonia

Active nasal surveillance culture (ANSC) is recognized to enable rapid detection of antibiotic-resistant bacteria in the intensive care unit (ICU), which can contribute to the prevention of Ventilator-associated pneumonia (VAP). This study aims to evaluate the usefulness of ANSC in assessing the development of VAP in ICU patients.

Research

Interactions between bacteria in the human nasopharynx: a scoping review

Emerging evidence indicates that interactions between bacteria shape the nasopharyngeal microbiome and influence respiratory health. This Review uses the systematic scoping methodology to summarise 88 studies including observational and experimental studies, identifying key interactions between bacteria that colonise the human nasopharynx. 

Research

Neurodevelopmental impairment in children with Robin sequence: A systematic review and meta-analysis

Estimate the global prevalence of neurodevelopmental impairment in children with Robin sequence (RS) at one year or more of age.

Research

Global change, climate change, and asthma in children: Direct and indirect effects - A WAO Pediatric Asthma Committee Report

The twenty-first century has seen a fundamental shift in disease epidemiology with anthropogenic environmental change emerging as the likely dominant factor affecting the distribution and severity of current and future human disease. This is especially true of allergic diseases and asthma with their intimate relationship with the natural environment.