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
Distinguishing benign from pathologic TH2 immunity in atopic childrenIn addition to its role in blocking TH2 effector activation in the late-phase allergic response, IL-10 is a known IgG1 switch factor
Research
Pressurised metered dose inhaler-spacer technique in young children improves with video instructionRepeated video instruction over time improves inhaler technique in young children
Research
Disruption of β-catenin/CBP signaling inhibits human airway epithelial-mesenchymal transition and repair.The airway epithelium of both children and adults with asthma is relatively undifferentiated characterized by a significantly increased proportion of...
Research
Influence of secular trends and sample size on reference equations for lung function testsThe aim of our study was to determine the contribution of secular trends and sample size to lung function reference equations, and establish the number...
Research
Infection and the development of allergic diseaseAn improved understanding of the roles of protein kinases in intracellular signalling and disease progression has driven significant advances in protein...
Research
Molecular characterization of Der p 10: A diagnostic marker for broad sensitization in house dust mite allergyTropomyosins represent clinically relevant seafood allergens but the role of mite tropomyosin
Research
CD4 allergen tetramersThe introduction of class II tetramers for identifying antigen-binding CD41 cells has lagged behind the use of class I tetramers because of difficulties...
Research
Interferon regulatory factor 7 is a major hub connecting interferon-mediated responses in virus-induced asthma exacerbations in vivoThe objective of this study was to elucidate the molecular networks that underpin virus-induced exacerbations in asthmatic children in vivo.
Research
Interferon regulatory factor 7 is a major hub connecting interferon-mediated responses in virus-induced asthma exacerbations in vivoThe objective of this study was to elucidate the molecular networks that underpin virus-induced exacerbations in asthmatic children in vivo.