23 results
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D3.419 - Efficacy, safety, and remission outcomes of omalizumab in elderly patients with severe allergic asthma: a subgroup analysis by age of onset

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D3.420 - Real-world epidemiologic characteristics of patients treated with dupilumab for type 2 inflammatory indications: a single-center retrospective cohort study

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D3.422 - Dupilumab in children with multimorbid atopic phenotype: therapy efficacy, safety and biomarker changes

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D3.424 - Retrospective Analysis of Self-Administration of Biologic Treatments for Severe Asthma and Chronic Urticaria

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D3.426 - Predicting response to omalizumab in patients with chronic spontaneous urticaria: The first results of the global multicenter UCARE SCOPUS project

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D3.427 - Challenging the paradigm: Use of omalizumab in refractory angioedema in a 2-year-old child

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D3.428 - Substratification of Biologic Treatment Using Dupilumab in Eosinophilic COPD

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D3.417 - Dupilumab in pediatric patients with severe atopic dermatitis

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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