29 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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- D1.521 - Rarer occurrence of cancer and autoimmune diseases among older patients with life-threatening allergic reactions to insect venom

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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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D3.484 - Non-Invasive Detection of Airborne Fungal Exposure Using Machine Learning–Assisted Volatile Biomarker Sensing

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D3.485 - Prevalence of Ambrosia artemisiifolia in Italy: Bioinformatics and Botanical Aerobiology Analysis

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D3.477 - IgE Sialylation as a Potential Biomarker of Allergy: Evidence from Patients with Diverse Allergic Conditions

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D3.478 - Microsplenia: Spleen Size Reduction as a Comprehensive Biomarker for Immune-Related Diseases, Disease Monitoring, and Treatment Response

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D3.479 - Association between Mitochondrial DNA Copy Number and Lung Function in Schoolchildren

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D3.480 - Protamine Hypersensitivity Risk in an Elderly Patient with Recurrent Food Anaphylaxis and High Cardiovascular Risk- Case Report

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D3.481 - Machine Learning–Based Plasma Proteomic Signatures for Prediction of Chronic Rhinosinusitis