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Showing results for "lung disease preterm"
News & Events
Wal-yan researchers welcomed at scientific meeting in New ZealandMore than 14 researchers from the Wal-yan Respiratory Research Centre will be welcomed as presenters and facilitators at The Thoracic Society of Australia and New Zealand and The Australia and New Zealand Society of Respiratory Science (TSANZSRS) Annual Scientific Meeting (ASM) this weekend.
Research
End-inspiratory molar mass step correction for analysis of infant multiple breath washout testsWe aimed to evaluate the use of the EIMM-step method in a broad range of infants.
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Technical standards for respiratory oscillometryThe aim of the task force was to provide technical recommendations regarding oscillometry measurement
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Association between diesel engine exhaust exposure and lung function in Australian gold minersDiesel engine exhaust exposures were higher in underground miners and had a negative association with their lung function over a single 12-h shift
News & Events
Wal-yan researchers to present at largest respiratory meeting in the worldA large contingent of researchers from the Wal-yan Respiratory Research Centre are heading to Spain in September to participate in the European Respiratory Society (ERS) International Congress – the largest respiratory meeting in the world.
Research
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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Defining the appropriate waiting time between multiple-breath nitrogen washout measurementsThis letter addresses the recommendations by the American Thoracic Society & European Respiratory Society in 2005, that patients must wait 15-60mins between...
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Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool AsthmaDespite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation.
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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
Pre-term kids get green light to exerciseParents of children born prematurely have expressed concerns about their child’s lung health when they exercise, with symptoms such as breathlessness.