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Showing results for "preterm birth lungs"
Research
Identifying pediatric lung disease: A comparison of forced oscillation technique outcomesThese findings suggest the utility of specific FOT outcomes is dependent on the respiratory disease being assessed
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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.
News & Events
Stan & Jean Perron Awards supporting outstanding child health researchersWe are pleased to announce latest recipients of the Stan and Jean Perron Awards, that recognise the work of exceptional postgraduate students who are undertaking their research projects at The Kids Research Institute Australia.
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Personalised, machine learning based prediction of asthma in childrenThis study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.
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The clinical utility of lung clearance index in early cystic fibrosis lung disease is not impacted by the number of multiple-breath washout trialsThis study aimed to determine if relationships between LCI and clinical outcomes of CF lung disease differ when only two acceptable MBW trials are assessed.
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Early life exposure to coal mine fire smoke emissions and altered lung function in young childrenInfant exposure to coal mine fire emissions could be associated with long-term impairment of lung reactance
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Which reference equation should we use for interpreting spirometry values for First Nations Australians? A cross-sectional studyTo evaluate the suitability of the Global Lung Function Initiative (GLI)-2012 other/mixed and GLI-2022 global reference equations for evaluating the respiratory capacity of First Nations Australians.
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Normative multiple-breath washout data in school-aged children corrected for sensor errorGraham Kathryn Rachel Alana Hall Ramsey Foong Harper BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc (Hons), PhD BSc (hons), PhD, MBiostat BSc (hons)
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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.
News & Events
Wal-yan respiratory researchers presented with prestigious awardsFour outstanding researchers from the Wal-yan Centre - Professor André Schultz, Professor Stephen Stick, Rebecca Watson and Michael Beaven - have been presented with prestigious awards in acknowledgement of their research aimed at improving the lives of children with respiratory illness.