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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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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.
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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
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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...
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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...
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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...
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Differences in innate immune function between allergic and nonallergic children: New insights into immune ontogenyWe sought to explore whether allergic children show differences in microbial Toll-like receptor (TLR)-mediated responses over their first 5 years of life.