22 results
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D2.03 - A Rare Case of Thyme Allergy in a Pediatric Patient: First Report and Clinical Insights

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D2.04 - Sensitization to common food allergens in a population of portuguese children

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D2.05 - A Retrospective Study Characterising the Types of Presentation of Soy Allergy in Adults

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D2.06 - Peanut allergy diagnosis. Our experience

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D2.08 - Post-Traumatic Stress Disorder Associated with Anaphylaxis

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D2.09 - Correlation Patterns Among House Dust Mite Allergens in Allergic Rhinitis: A Molecular Sensitization Study in Mallorca

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D2.10 - Can specific IgE components for egg allergy - predict egg ladder success?

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D2.11 - A confidence score for basophil activation test: improving interpretation around diagnostic cutoffs

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D2.12 - Indirect Basophil Activation Test: development of a user-friendly protocol for plasma and allergen testing

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D2.13 - Structural Homology of Alt a 1 and Phl p 2 Suggests an explanation for coincidence of Grass and Alternaria Allergies

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D2.15 - The etiology and risk factors of food allergies in children in Albania

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D2.16 - Clinical evaluation of the efficacy of profilin isolated from Acanthamoeba as an allergen

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D2.437 - Long-Term Analysis of the Phase 2 Open-Label Extension of Donidalorsen in Patients With Hereditary Angioedema

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D2.436 - Application Study on the prevention and treatment of spleen aminopeptide oral solution on seasonal allergic rhinitis

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D2.438 - Adipose-derived stem cells secretome attenuates eosinophilic inflammation in a chronic rhinosinusitis with nasal polyps mouse model

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D2.439 - Low vitamin D levels in patients with allergic rhinitis and its supplementation

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D2.440 - Burden of disease and patient preference in Hereditary Angioedema: findings from a mixed methods survey of carers and patients in the United Kingdom

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D3.429 - Performance Analysis of Five Large Language Models, Including GPTo1-Preview, On an Allergy and Clinical Immunology Exam

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D3.430 - Artificial intelligence Chatbots Can Influence the Decision-Making and Behavior of Patients with Allergies: Results of a Multicenter Evaluation Study

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D3.431 - Can Artificial Intelligence-Based Large Language Models Provide Accurate and Reliable Information to Asthma Patients? A Comparative Analysis with Expert Insights