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  • Until platform closure (22)
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23 results
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D1.200 - Allergenicity of profilin isoallergens from Korean melon

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D1.201 - Safety and Effectiveness of Subcutaneous Immunotherapy with Non-Homologous Aeroallergen Mixtures: A Real-World Study

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D1.206 - Local allergic rhinitis to birch pollen: a case of transient IgE+ plasmablast detection and successful sublingual immunotherapy

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D1.213 - Staphylococcus aureus enterotoxins in allergic rhinitis: impact on disease severity and molecular sensitization profile

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D1.216 - AIT prescription drivers: a factor analysis of data from the CHOICE survey

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D1.214 - Analysis of the time to achieve a maintenance dose of tree pollen allergen in specific immunotherapy of allergic rhinitis

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D3.323 - SBK007: A Novel Oral H1 Antihistamine with Rapid Onset (30min): Preclinical Pharmacodynamics in Acute Urticaria

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D3.324 - Hereditary Angioedema Attack Frequency and Severity According to Individuals Taking Berotralstat for Long-Term Prophylaxis

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D3.325 - Immediate-type allergic reactions associated with thiuram mix sensitization in an adolescent with atopic dermatitis: a case report

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D3.328 - Paediatric Anaphylaxis: The Importance Of Recognition

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D3.329 - Real-world shelf-life of adrenaline auto-injectors (AAIs) at pharmacy dispensing: Insights from six countries

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D3.331 - Real-World Challenges in Pediatric Anaphylaxis: The Role of Epinephrine

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D3.332 - Patient Preferences for Nasal Adrenaline Spray versus Adrenaline Auto-Injectors in Anaphylaxis: A Multi-Country Discrete Choice Experiment

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D3.333 - Clinical Characteristics of Anaphylaxis in Infants and Toddlers

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D3.335 - Anaphylaxis After Eating Sushi - Emergent allergies with new food habits?

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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

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