26 results
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- D1.524 - StingReady: a safe and alternative method for controlled sting challenge tests

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- D1.515 - Occupational Exposure of Patients Allergic to Hymenoptera Venom

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- D1.516 - Compliance with hymenoptera venom inmunotherapy (VIT)

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- D1.517 - Adverse Reactions to Insect Venom Immunotherapy in a Reference Center

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- D1.518 - Patient Phenotypes in Prolonged Immunotherapy for Hymenoptera Venom

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- D1.519 - Safety of ultra-rush protocols in venom immunotherapy: a systematic review and meta-analysis of Portuguese data

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- D1.520 - Immunological modulation during Apis mellifera venom immunotherapy

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- D1.522 - Efficacy of hymenoptera venom immunotherapy in Portugal: a systematic review

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- D1.523 - Clinical characterization of patients with Hymenoptera venom allergy undergoing venom immunotherapy stratified by basal serum tryptase

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- D1.525 - Implementation of allergen-specific immunotherapy for insect allergy

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D1.526 - Epidemiologic Characteristics of Hymenoptera Venom Allergic Patients from Two Different Environmental Areas

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- D1.527 - Low tryptase and combined IgE biomarkers have limited predictive value in children with severe honeybee venom anaphylaxis

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D3.35 - The influence of birth month on allergen sensitization patterns: A comprehensive analysis of skin prick test results in a large patient cohort

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D3.36 - Chronic type non-IgE-mediated gastrointestinal food allergies, Clinical features and unclassified subgroup in the recent cohort

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D3.38 - Elucidating the Causes of Discordant Results Between Two Specific IgE Assays Using Component-Resolved Diagnostics and Depletion Testing

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D3.39 - Allergic contact dermatitis to oxidized fragrance components: a case of sensitization to hydroperoxides of limonene

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D3.44 - Global Trends in Google Search Interest for Allergic Diseases, Diagnostics and Therapies Over Two Decades

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D3.46 - Safety of the EAACI risk assessment in hypersensitivity reactions to chemotherapy

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D3.47 - Changes in Poaceae and Betulaceae pollen seasons correlate with patient sensitization profiles: a single-centre study over 4 decades

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- D3.509 - Predicting Fungal and Bacterial Bioaerosol Concentrations Across Distinct Building Types: A Generalized Additive Model and Machine Learning Framework