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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.

New funding to support innovative research projects

Two The Kids Research Institute Australia research teams have been awarded more than $3.5 million to fund innovative projects.

Determinants of lung function development from birth to age 5 years: an interrupted time series analysis of a South African birth cohort

Early life is a key period that determines long-term health. Lung development in childhood predicts lung function attained in adulthood and morbidity and mortality across the life course. We aimed to assess the effect of early-life lower respiratory tract infection (LRTI) and associated risk factors on lung development from birth to school age in a South African birth cohort.

ERS/ATS technical standard on interpretive strategies for routine lung function tests

Appropriate interpretation of pulmonary function tests (PFTs) involves the classification of observed values as within/outside the normal range based on a reference population of healthy individuals, integrating knowledge of physiological determinants of test results into functional classifications and integrating patterns with other clinical data to estimate prognosis.

Infection, inflammation,and lung function decline in infants with cystic fibrosis

Better understanding of evolution of lung function in infants with cystic fibrosis...

Exhaled breath temperature in healthy children is influenced by room temperature and lung volume

Exhaled breath temperature (EBT) has been proposed for the non-invasive assessment of airway inflammation

Great minds come together at Wal-yan Scientific Retreat

Wal-yan Respiratory Research Centre team members and special guests travelled to Wadjemup (Rottnest) on 27 and 28 October to spend an intensive two days together learning about, and providing input into, the broad range of research projects underway within the Centre.

PREDICT CF: Assessing the role of lung clearance index in predicting disease progression in children with cystic fibrosis

There is increasing evidence that the assessment of ventilation distribution using the multiple breath washout (MBW) technique is sensitive to changes in disease status of children with cystic fibrosis.

Early life exposure to coal mine fire smoke emissions and altered lung function in young children

Infant exposure to coal mine fire emissions could be associated with long-term impairment of lung reactance

Normative multiple-breath washout data in school-aged children corrected for sensor error

Graham Kathryn Rachel Alana Hall Ramsey Foong Harper BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc (Hons), PhD BSc (hons), PhD, MBiostat BSc (hons)