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23 results
D1.76 - Contact dermatitis in diabetic patients with wearable devices: A single-centre study
D1.87 - Kiwi allergy: A Comparative Analysis of Adult and Pediatric patients
D1.77 - Hereditary Angioedema in Real Life: Unmet Needs from the Patient Perspective
D1.78 - Non-Allergic Dermatologic Diagnoses Among Patients Presenting to an Allergy Immunology Outpatient Clinic: A Prospective Clinical Study
D1.79 - Heterogeneity of Non-Allergic Non-Eosinophilic Asthma: Clinical Subphenotypes and Allergy Belief Patterns
D1.82 - Pancake Syndrome: Molecular and Diagnostic Heterogeneity of Mite Sensitization
D1.83 - Cannabis-related severe anaphylaxis without cutaneous manifestations: atypical sensitization profile and mast cell disorder differential diagnosis in a case report
D1.84 - Invasion Meets Allergy: Cortaderia selloana as an Emerging Grass Aeroallergen
D1.85 - Baseline lung function and clinical outcomes in Allergic Bronchopulmonary Mycosis: A real-world cohort from a Severe Asthma Multidisciplinary Unit
D1.86 - Age-Related Features of Sensitization to Timothy Grass in Children According to Component-Resolved Diagnostics
D1.88 - An unusual diagnostic aid for Hymenoptera venom genuine versus cross sensitization: the field sting
D1.89 - Qualitative comparison between Euroline Respiratory Profile and Phadiatop for the screening of airborne allergies
D3.484 - Non-Invasive Detection of Airborne Fungal Exposure Using Machine Learning–Assisted Volatile Biomarker Sensing
D3.485 - Prevalence of Ambrosia artemisiifolia in Italy: Bioinformatics and Botanical Aerobiology Analysis
D3.477 - IgE Sialylation as a Potential Biomarker of Allergy: Evidence from Patients with Diverse Allergic Conditions
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
D3.480 - Protamine Hypersensitivity Risk in an Elderly Patient with Recurrent Food Anaphylaxis and High Cardiovascular Risk- Case Report
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
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