28 results
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D2.545 - Perception of adult patients in an allergy clinic after using Scribe artificial intelligence, our experience

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D2.546 - Ethical Impact of Generative AI in Clinical Practice for Asthma and Allergy

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D2.547 - The Transparent and Credible AI for Clinical Protocols

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D2.548 - Expert Evaluation of Dialogue Quality and Clinical Reasoning in a Hybrid Multilingual LLM–Algorithm Allergy Decision-Support System: A Pilot Study of 34 Real-World Cases

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D3.213 - Sustained effectiveness of the 300 IR house dust mite sublingual tablet over 2 treatment years in a real-world data setting – results of a non-interventional study

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D3.198 - Challenges of using clinical scores as primary endpoints in allergology trials

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D3.199 - Severe systemic allergic reaction following violation of elimination diet in a patient with sensitization despite achieved remission on allergen-specific immunotherapy

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D3.200 - Broad profile of olive pollen sensitisation as a key factor in immunotherapy failure

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D3.201 - Subcutaneous immunotherapy with a depigmented cat allergoid is safe in patients with cat allergy and beneficial for mental health in adolescents

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D3.202 - Characterising relevant major allergens beyond modification: from allergen to allergoid

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D3.203 - Characterisation of relevant allergens in grass pollen extracts

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D3.205 - Two-year Outcomes of Multiple Low-Dose Oral Immunotherapies for combination of Tree Nuts or Peanut for Severe Allergy Patients

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D3.206 - Pollen-Food Allergy Syndrome (PFAS): A New Paradigm in Allergy Practice – Results of a Survey Among Allergists

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D3.207 - Symptomatology and Sensitization Profiles of Patients Undergoing Subcutaneous Immunotherapy for Aeroallergens in Greece

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D3.208 - Security of initiation of SCIT in the day hospital

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D3.209 - Subcutaneous Allergen Immunotherapy in Children: Frequency of Local and Systemic Adverse Reactions and Associated Risk Factors

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D3.214 - A multi-epitope protein promotes regulatory T-cell responses in PBLs from HDM-allergic patients

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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