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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.
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Effects of human rhinovirus on epithelial barrier integrity and function in children with asthmaThis study demonstrates novel intrinsic differences in tight junctions gene and protein expression between airway epithelial cells of children with and without asthma
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Clinical characteristics of eosinophilic asthma exacerbationsEosinophilic asthma exacerbations may be clinically more severe than non-eosinophilic exacerbation
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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
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Pressurised metered dose inhaler-spacer technique in young children improves with video instructionRepeated video instruction over time improves inhaler technique in young children
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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...
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Environmental Factors in Children's Asthma and Respiratory EffectsAsthma is more common in childhood than in adulthood and is more correctly thought of as a syndrome than as a discrete condition.
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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.
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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.
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Hospitalisation with infection, asthma and allergy in Kawasaki disease patients and their families: genealogical analysis using linked population dataKawasaki disease results from an abnormal immunological response to one or more infectious triggers.