23 results
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D2.398 - Is Cynodon dactylon an important cause of pollinosis in Madrid?

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D2.399 - Antihistamine Residues in Wastewater may allow to estimate the burden by Airborne Pollen Concentrations

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D2.402 - Main Pollen Types Identified in Aerobiological Stations of the Latin American Aerobiology Network (Red Latinoamericana de AerobIología, RLA)

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D2.403 - Controlled exposure to grass and ragweed pollen in an Allergen Exposure Chamber

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D2.404 - Asthma, pollen and air pollution : using big data of south Korean health-care records

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D2.405 - Correlation between Emergency visits and Olea pollen levels

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D2.406 - Correlation between Emergency visits and Olea pollen levels in a child population

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D2.407 - A novel ambient air sampling device for detection of airborne microbes

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D2.408 - Comparison of machine learning methods in characterizing and forecasting of the birch and grasses pollen seasons

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D2.409 - Identification of novel immunological markers for assessing inflammatory-allergic processes in the lung exposed to HOCl acid mist in an animal model

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D2.410 - Evaluating the Impact of Air Cleaning Devices on Novel Allergens: Silkworm Allergen - Bombyx Mori (Bom m 1)

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D2.411 - Identifying bioaerosol diversity in the atmosphere of Vilnius, Lithuania, by molecular methods: hints to clarify human bio-exposome

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D3.423 - Cross-Reactivity Among Hymenoptera Venoms: A Case Study on Apis, Vespula, and Polistes Allergens

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D3.424 - Long-term efficacy and re-sting outcomes following venom immunotherapy discontinuation: A 978-patient analysis

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D3.425 - Anaphylactic reaction to carpenter bee

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D3.426 - The Frequency of Previous Large Local Reactions in a Group of 158 Patients with a History of Systemic Reaction after Insect Sting

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D3.427 - Current practices in diagnosis and treatment of Hymenoptera venom allergy (HVA) in Poland

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D3.428 - CAP-Inhibition use to diagnose genuine double sensitization to vespoid venoms: description of a spanish cohort

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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