29 results
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D2.320 - Safety and tolerability of stepwise oral food challenge using heated whole egg powder: a multicenter study

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D2.326 - The frequency of hereditary α-tryptasemia (HαT) in patenits with insect venom anaphylaxis and in patients with mastocytosis – preliminary results

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D2.319 - A clinical case of polysensitization and multiple allergies in a 1.5-year-old child

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D2.322 - Identifying Risk Factors for Food Allergy and Food-Induced Anaphylaxis Among Korean School-Aged Children: A Nationwide Population-Based Study

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D2.323 - Evaluation of Artificial Intelligence Models with Case Scenarios in the Diagnosis and Management of Pediatric Anaphylaxis

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D2.324 - Anaphylaxis in very early childhood: An ongoing challenge

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D2.325 - Desensitization of Olipudase alfa-induced anaphylaxis in a child with chronic neurovisceral acid sphingomyelinase deficiency and ochoa syndrome

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D2.327 - Patient and caregiver perspectives on sublingual adrenaline for anaphylaxis: findings from an international survey

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D2.328 - Pediatric Anaphylaxis in Turkey: Clinical Characteristics, Triggers, and Severity in a Nation-wide Registry

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D2.329 - Profilin-mediated anaphylaxis with cofactor

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D2.331 - An Adult Case of Cofactor-Induced Anaphylaxis Associated with Physical Exercise

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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