23 results
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D1.472 - Features of the intestinal microbiota composition in infants with allergy: comparison of two diagnostic methods

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D1.473 - Features of the intestinal microbiota composition in infants with IgE- and non-IgE-mediated allergy

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D1.476 - Impact of neonatal vaccination on the incidence of atopic dermatitis in children by 36 months: a prospective cohort study

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D1.480 - Polysomnographic phenotypes of sleep-disordered breathing in children with asthma: a systematic review

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D1.467 - Economic Burden of Allergic Diseases in Children: Global Evidence and Implications for Kyrgyzstan

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D1.475 - Significance of air-trapping and pulmonary hyperinflation in the severity of broncho-obstructive manifestations in children with cystic fibrosis

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D1.478 - Hyper-IgE in allergic bronchopulmonary aspergillosis: diagnostic challenges

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D1.479 - Lung function in children with cystic fibrosis associated with wheezing

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D3.465 - Climate Change Anxiety Scale (HAES-13) in assessing the emotional impact of extreme weather events

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D3.466 - Quantitative assessment of environmental exposure to Der p1, Der p 2 and Der p 23 in European and South African house dust samples

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D3.471 - Invisible Ventilation Gaps: Continuous Low-Cost Indoor Air Quality Monitoring in a Northern Portuguese Hospital

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D3.469 - Interaction between Meteorological Variables and Atmospheric Pollutants in the Dynamics of Alternaria Spores in Bragança, Portugal

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D3.472 - Innovative Environmental Allergen Mitigation Using Probiotic-Treated Carpets

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D3.473 - Symptom burden and sensitization patterns in allergic rhinitis: real-world data

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D3.474 - Non-IgE-mediated rhinitis in sub-Saharan Africa: an underdiagnosed condition?

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D3.485 - Prevalence of Ambrosia artemisiifolia in Italy: Bioinformatics and Botanical Aerobiology Analysis

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D3.478 - Microsplenia: Spleen Size Reduction as a Comprehensive Biomarker for Immune-Related Diseases, Disease Monitoring, and Treatment Response

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D3.479 - Association between Mitochondrial DNA Copy Number and Lung Function in Schoolchildren

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D3.481 - Machine Learning–Based Plasma Proteomic Signatures for Prediction of Chronic Rhinosinusitis

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D3.482 - Harnessing the Baseline Nasal Microbiome to Predict Pollen Related Symptom Expression