37 results
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D1.02 - Prevalence of allergic respiratory disorders in urban V/s rural Indian population

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D1.03 - Sustainable and gluten free bread: Are legumes a hidden risk for occupational IgE-mediated respiratory allergy?

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D1.04 - Diagnostic approach for respiratory symptoms linked to microbial contamination in metalworking fluids

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D1.05 - Bet v 6 as a Marker of Pollen Cross-Reactivity in Southern Europe: Insights from a Birch-Free Region

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D1.07 - Profile of sensitization to inhalant allergens in Valencia: Analysis of 1.898 skin prick tests over one year

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D1.09 - Dynamics of pollen allergy in Ukraine during the full-scale invasion shows demand for diagnostics increased with changed sensitization patterns seen

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D1.10 - Tree pollen allergy profile in Ukraine assessed by large-scale molecular component analysis

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D1.11 - Age and Gender Patterns in Fungal Allergen Sensitization: A Study from Central Ukraine

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D1.13 - EHealth tools suitability and technologic innovation use in an Environmental Exposure Chamber

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D1.14 - Molecular Allergy Profiling of Pollen Sensitization in Cluj-Napoca

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D1.15 - Relationship between sensitization to peanuts and tree nuts in children with allergic diseases in a population of the Russian Federation

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D1.12 - Optimal Conventional Diagnostic Approach for Wheat Allergy in Chinese Children

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D1.136 - Allergen awareness of patients in allergology consultations at the pneumophthisiology department of the Ignace Deen University Hospital

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D1.134 - Mapping the Patient’s Journey Prior to Allergen Immunotherapy

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D1.135 - ”Bee Pollen” as a Potential Trigger for Anaphylaxis: A Case Study

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D1.137 - Characterization of Pana g 1, a novel allergen from Korean ginseng, Panax ginseng triggering Pollen-Food Allergy Syndrome

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D1.138 - IgE cross-reactivity between grass species in the presence of Japanese cedar pollen sensitization

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D1.139 - Staphylococcus aureus (carriage and sensitization) - is it a significant factor in allergic rhinitis?

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D1.144 - Global variations of IgE cross-reactivity in Cupressus allergy

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D1.145 - A Clinical Decision Support System (CDSS) based on Machine Learning for the diagnosis of Seasonal Allergenic Rhinitis (SAR) and patient-tailored AIT prescription