22 results
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D2.151 - HZ-Y030, an Oral STAT6 Degrader, Attenuates Type 2 Inflammation in Preclinical Asthma Models

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D2.152 - Clinical and functional characteristics of patients with suspected epoxy resin-related occupational asthma

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D2.155 - Mapping the Architecture and Spectrum of the Cough Hypersensitivity Questionnaire Across Respiratory Diseases

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D2.158 - Circulating 1-methylnicotinamide can predict the treatment response of dupilumab in adult asthma

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D2.157 - Clinical remission with tezepelumab in severe asthma: prevalence and predictors in a real-world multicentre study

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D2.159 - Idiopathic Chronic Eosinophilic Pneumonia: A Case Series

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D2.160 - Household Overcrowding and Number of Siblings as Risk Factors for Uncontrolled Asthma in Inner-City Children

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D2.161 - Exploring the Early-Life Interplay Between Respiratory Health and Neurodevelopmental disorders

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D3.357 - Revealing an Underlying Inborn Error of Immunity in Pediatric Granulomatous Disease: A Case of STAT1 Loss-of-Function–Associated Mendelian Susceptibility to Mycobacterial Disease after BCG Vaccination

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D3.361 - Pulmonary Embolism in a Patient with Hyper IgE (Job) Syndrome Associated with Genetic Thrombophilia: A Rare Case

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D3.362 - Ulcerative Colitis Developing in an Immunodeficiency Patient with CD19 Gene Mutation: A Case Report

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D3.363 - Systemic Lupus Erythematosus in a Patient with Hyper IgM Syndrome

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D3.366 - Experience With Berotralstat In The First Turkish Patients

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D3.367 - Clinical and immunological heterogeneity of 22q11.2 deletion syndrome in children from the Republic of Moldova

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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