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  • Until platform closure (20)
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  • Thematic Poster Session (21)
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Session Reference
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21 results
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D1.270 - Irish Infant Allergy and Nutrition: A Content Analysis of Public-Facing Online Guidance

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D1.273 - Burden of food allergy on daily life and emotions in children and parents: Insights from the IPAA French Cohort

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D1.274 - Evaluating adherence to and effectiveness of food allergy advice in parents of infants under 6 months old suffering from atopic dermatitis

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D1.267 - Clinical Features and Dairy Triggers for Cow’s Milk Allergy among 342 Chinese Children in a University-affiliated Allergy Clinic in Hong Kong

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D1.271 - Parental Vaccine Hesitancy And Immunization Practices In Children With Food Allergy

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D1.275 - Pollen-Food Allergy Syndrome among Final-Year Primary School Students in the City of Olsztyn and Olsztyn County, Poland: A Questionnaire-Based Cross-Sectional Study

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D3.126 - Evaluation of Severe Pediatric Asthma Response to Biologics Using the Pediatric CONFiRM Score: A Real-Life Cohort Analysis

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D3.129 - Evaluation of Cardiovascular Disease Risk and Associated Factors in Childhood Asthma

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D3.132 - The impact of biological therapy on the quality of life of patients with severe asthma

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D3.135 - Real World Efficacy of Benralizumab Treatment in Severe Eosinophilic Asthma: A Single-Center Experience

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D3.137 - The “Street Cat” Paradox: Low Prevalence but High Disease Burden of Mouse Sensitization in Pediatric Asthma

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D3.138 - Can FeNO predict lung function decline in asthma? A 5-year multicenter cohort study

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D3.139 - Asthma control and medication adherence in patients with asthma using preferred versus alternative GINA treatment tracks - a real-world observational study

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

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D3.486 - Acute hepatitis B with atypical serological markers in a previously vaccinated patient receiving anti-CD20 obinutuzumab

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