125 results
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D2.287 - Evaluation of NSAID Hypersensitivity in Children: A Retrospective Analysis

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D2.288 - Idursulfase Hypersensitivity Reactions: Unpacking Immunological Mechanisms Beyond Clinical Manifestations

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D2.289 - A Cardiovascular Enigma in the Emergency Room

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D2.290 - Allergens involved in a case report of anaphylaxis to ginger (Zingiber officinale), a very rare but severe allergy

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D2.291 - The level of knowledge of adolescent and young adults about food allergies and anaphylaxis: Key information that can save lives - a pilot study

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D1.34 - Hypersensitivity Reactions to Iodinated and Gadolinium-Based Contrast Media: Clinical and Epidemiological Insights

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D1.35 - Lipid transfer protein and Profilin-associated food-dependent exercise-induced anaphylaxis: A case series

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D1.36 - Prevalence of thaumatin and Alternaria co-sensitization

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D1.389 - How Youth Understand and Manage Risks Associated with Their Food Allergy in Everyday Life

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D1.42 - Case Report of Allergy to Mint and Basil

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D1.46 - Allergic Reaction to Quadrivalent Meningococcal Conjugate Vaccine (MCV4): Case Report and Diagnostic Approach

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D1.37 - Sometimes it is not what it seems

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D1.38 - Anaphylactic reaction to chia seeds: A case report

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001129 - From Symptoms to MBPT: A Machine Learning Approach to Asthma Diagnosis

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100541 - Systematic evaluation of ChatGPT`s performance on 40 dermatological allergology questions with clinical error impact assessment for erroneous AI-guided chatbot-advice

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

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D2.77 - A Novel Neural Network for Quantifying Wheal and Erythema in Skin Prick Testing

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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