22 results
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D1.422 - A service review of the complex COVID-19 vaccination service

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D1.425 - Familial Cold Autoinflammatory Syndrome Post COVID-19 Vaccine: A Case Report

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D1.423 - Listening to Urticaria Patients Through Social Media: Analyzing the Impact of the COVID-19 Pandemic

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D1.424 - Clinical-epidemiological profile of patients with Post-Covid syndrome followed at a medical school outpatient clinic

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D1.426 - Cellular immunity profile in patients with urolithiasis in the presence of post-Covid syndrome

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D2.366 - The establishment of a Japanese cypress pollen environmental exposure chamber protocol

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D2.367 - Omalizumab Efficacy in Relapse of Nasal Polyposis

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D2.368 - Lack of anaerobic gut bacteria in patients with aspirin intolerance and allergy

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D2.369 - Impaired Retinoic Acid Metabolism and Eotaxin Overexpression in Eosinophilic Chronic Rhinosinusitis: Insights into Pathophysiology and Therapeutic Potential of CRABP1 Targeting

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D2.370 - Trends in Sensitization to Pet Allergens and Correlation between Symptoms and Asthma in Allergic Rhinitis from 2017 to 2023 in China

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D2.372 - Evaluating ChatGPT's Performance in Answering Questions About Allergic Rhinitis and Chronic Rhinosinusitis

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D2.374 - Smoking increases mortality risk of chronic inflammatory airway diseases: a real-world hospital cohort study

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D2.375 - Concomitant allergic and ENT pathology in children with chronic inflammatory diseases

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D2.376 - The role of endoscopic sinus surgery in chronic rhinosinusitis with minimally affected computed tomography

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D2.378 - Exploring the Connection Between Allergic Rhinitis and Sinusitis in Children

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D2.371 - Clinical Implication of Neutrophil Phenotypes in Chronic Rhinosinusitis With Nasal Polyps

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D2.373 - Diurnal variation in Japanese cedar pollinosis symptoms

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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