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Poster topics
  • Aerobiology and pollution (1)
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22 results
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D1.16 - Molecular sensitization profiles in house dust mite allergic patients from Valencian Community

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D1.18 - Comparative Analysis of Nasal Secretions and Serum Biomarkers in House Dust Mite Allergy: Correlation with Symptoms and Skin Prick Test Results

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D1.19 - Contribution of Panallergens to Edible Insect Reactivity in Mite-Sensitized Individuals

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D1.20 - Progesterone-Induced Urticaria: Diagnostic and Therapeutic Approach

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D1.22 - Molecular Allergen Sensitization Patterns in Cat, Dog and Horse Allergies in Children

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D1.23 - Unrestricted Potential: The Role of AMS in Tackling Allergy Labels

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D1.24 - Towards risk assessment of peanut sensitised patients based on statistical modelling of 32,500 IgE-macroarray test results

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D1.25 - Clinical Characteristics of Chronic Urticaria in Adults Under 45 Years Old with Vitamin D Insufficiency

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D2.342 - Changes of MMP-9 and MMP-12 in response of acute viral infection in virtual model of macrophages

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D2.343 - Use of IDDA 2.1 score in Common Variable Immunodeficiency (CVID): a single center experience

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D2.344 - Unraveling the Mysteries of Chronic Granulomatous Disease: A Case of detected Protein Deficiency Amidst Negative Genetic Screening

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D2.345 - Conformations of HVEM engaged in its Trans and Cis interactions are caused by two kinds of post-translational folding

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D2.346 - Assessment of the safety of allogenic natural killer cells in the treatment of metastatic colon cancer

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D2.347 - Allergen-Specific T Cells to House Dust Mite are absent on the circulation of local allergic rhinitis patients

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D2.348 - Clinical Course of Hereditary Angioedema Patients Transitioning off Androgens

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D2.349 - Hereditary Angioedema in Bulgaria: an update on patient characteristics and treatment modalities

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D2.350 - CVID: the crossroad between immune dysregulation, autoimmunity and cancer

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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

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