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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
Research
Age- and height-based prediction bias in spirometry reference equationsPrediction bias in spirometry reference equations can arise from combining equations for different age groups,...
Research
Variants associated with HHIP expression have sexdifferential effects on lung functionLung function is highly heritable and differs between the sexes throughout life. However, little is known about sexdifferential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females.
News & Events
Wal-yan researchers to join global respiratory congress in ViennaResearchers from the Wal-yan Respiratory Research Centre are proud to be part of this prestigious event, contributing their expertise to the Congress' outstanding scientific programme.
Research
No association between in utero exposure to emissions from a coalmine fire and post-natal lung functionStudies linking early life exposure to air pollution and subsequent impaired lung health have focused on chronic, low-level exposures in urban settings. We aimed to determine whether in utero exposure to an acute, high-intensity air pollution episode impaired lung function 7-years later.
Research
Variants associated with HHIP expression have sex-differential effects on lung functionLung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females.
News & Events
Premmie twins defy the oddsWhen Samuel and James Considine were born in October 2003, perilously close to what the medical world describes as the limit of viability, each weighed just 700 grams and could fit into the palm of their father’s hand.
We’ve heard from families that trustworthy information about preterm-associated lung disease is difficult to find. In response, we’ve created resources to empower families with the knowledge they need to manage these challenges.
The discoveries that have set our research apart primarily relate to the factors early in life that cause life-long respiratory problems.
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.