22 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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D3.357 - Revealing an Underlying Inborn Error of Immunity in Pediatric Granulomatous Disease: A Case of STAT1 Loss-of-Function–Associated Mendelian Susceptibility to Mycobacterial Disease after BCG Vaccination

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D3.361 - Pulmonary Embolism in a Patient with Hyper IgE (Job) Syndrome Associated with Genetic Thrombophilia: A Rare Case

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D3.362 - Ulcerative Colitis Developing in an Immunodeficiency Patient with CD19 Gene Mutation: A Case Report

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D3.363 - Systemic Lupus Erythematosus in a Patient with Hyper IgM Syndrome

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D3.366 - Experience With Berotralstat In The First Turkish Patients

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D3.367 - Clinical and immunological heterogeneity of 22q11.2 deletion syndrome in children from the Republic of Moldova

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D3.368 - Selective IgE Deficiency in Children: 10-Year Experience

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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

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D3.482 - Harnessing the Baseline Nasal Microbiome to Predict Pollen Related Symptom Expression

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D3.483 - Wearable Energy-efficient Device development for Real-time Evaluation, Analysis, and Monitoring platform