22 results
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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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- D3.03 - Trend analysis of the occurrence of allergic diseases in Polish children over the past 30 years

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- D3.05 - Predictive Value of Bronchodilator Reversibility and FeNO in Assessing Positive Outcomes of Bronchial Provocation Tests in Asthma Patients

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- D3.02 - Benefits of non-invasive methods in the diagnosis of occupational asthma: example of asthma due to ammonium persulphate in a hairdresser

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- D3.07 - Allergic Asthma in Children: The Hidden Role of Cockroaches

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- D3.08 - Cross-disciplinary working in adult food allergy: experience from the UK

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- D3.10 - Systemic characteristic of 15-LOX and 5-LOX oxo-metabolites in older patients with aspirin exacerbated respiratory disease

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- D3.11 - Bird-Egg Syndrome and Beyond: Exploring Allergies to Egg Yolk and Seeds from Bird Feed Components

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- D3.12 - A case of Pneumothorax as first manifestation of asthma

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- D3.13 - Real-life experience with tezepelumab in severe allergic asthma

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- D3.14 - Validation of an environmental exposure chamber for the diagnosis of olive tree pollen allergy

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- D3.15 - Mislabeling of Anaphylaxis in the Emergency Department: A Retrospective Study at King Abdulaziz University Hospital, Jeddah

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D3.16 - Recommendations to travelers with pollen allergy, main pollens identified in aerobiological stations from Perú and Spain

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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