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22 results
D2.114 - Occupational asthma and rhinitis in a worker in the single-use food packaging industry: challenges of multi-agent exposure
D2.115 - Occupational asthma and rhinitis to isocyanates in industrial settings
D2.108 - Type 2 Inflammation Biomarkers in Patients with Chronic Rhinosinusitis with Nasal Polyps Under Treatment with Biologic Agents
D2.110 - Real-world evaluation of tezepelumab in patients with severe asthma and chronic rhinosinusitis in France: preliminary results from the ROSE retrospective study
D2.113 - Comparison of Non-Asthmatic Allergic Rhinitis Patients with Normal and Low FEF25–75 Levels
D2.120 - Missing the Red Flags? Identification of High-Risk Paediatric Asthma Admissions Following the 2024 BTS/NICE/SIGN Update
D2.121 - Seroprotection to influenza virus in vaccinated patients with bronchial asthma on biological treatment
D3.465 - Climate Change Anxiety Scale (HAES-13) in assessing the emotional impact of extreme weather events
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
D3.471 - Invisible Ventilation Gaps: Continuous Low-Cost Indoor Air Quality Monitoring in a Northern Portuguese Hospital
D3.469 - Interaction between Meteorological Variables and Atmospheric Pollutants in the Dynamics of Alternaria Spores in Bragança, Portugal
D3.472 - Innovative Environmental Allergen Mitigation Using Probiotic-Treated Carpets
D3.473 - Symptom burden and sensitization patterns in allergic rhinitis: real-world data
D3.474 - Non-IgE-mediated rhinitis in sub-Saharan Africa: an underdiagnosed condition?
D3.485 - Prevalence of Ambrosia artemisiifolia in Italy: Bioinformatics and Botanical Aerobiology Analysis
D3.478 - Microsplenia: Spleen Size Reduction as a Comprehensive Biomarker for Immune-Related Diseases, Disease Monitoring, and Treatment Response
D3.479 - Association between Mitochondrial DNA Copy Number and Lung Function in Schoolchildren
D3.481 - Machine Learning–Based Plasma Proteomic Signatures for Prediction of Chronic Rhinosinusitis
D3.482 - Harnessing the Baseline Nasal Microbiome to Predict Pollen Related Symptom Expression
D3.483 - Wearable Energy-efficient Device development for Real-time Evaluation, Analysis, and Monitoring platform
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