22 results
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D3.464 - Influences of Climate and Environmental Exposures on Atopic Dermatitis Persistence and Asthma Development in Early Childhood: 6-Year Follow-up of Longitudinal Study

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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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D3.467 - When urban green spaces meet human allergies – Evidence from an urban pine park in Thessaloniki, Greece

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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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D3.475 - Long-term retention of mouse blood proteins in Ixodes ricinus suggests residual host blood as a potential source of α-Gal

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D3.468 - Effect of Microplastic Inhalation on Allergic and Nonallergic Rhinitis

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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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D3.484 - Non-Invasive Detection of Airborne Fungal Exposure Using Machine Learning–Assisted Volatile Biomarker Sensing

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

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D3.477 - IgE Sialylation as a Potential Biomarker of Allergy: Evidence from Patients with Diverse Allergic Conditions

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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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D3.480 - Protamine Hypersensitivity Risk in an Elderly Patient with Recurrent Food Anaphylaxis and High Cardiovascular Risk- Case Report

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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

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D3.483 - Wearable Energy-efficient Device development for Real-time Evaluation, Analysis, and Monitoring platform