29 results
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D1.125 - Smartphone-Based Asthma Monitoring Using an Audio-Assisted Mouthpiece and STFT-VGG19 Deep Learning Model

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D1.132 - Novel CD8+CD122+ Regulatory T Cells Induced by B Cells Suppress T helper 2 Response and Attenuate Eosinophilic Infiltration in Allergic Asthma

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D1.123 - Visualization of neutrophil extracellular traps (NETs) and autoantibodies targeting myeloperoxidase (MPO) and neutrophil elastase (NE) in sputum by confocal microscopy

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D1.124 - Changes in respiratory infections patterns in Patients with Severe Asthma and a High burden of comorbidities treated with tezepelumab: interim analysis results of the T-ROSS II study

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D1.126 - Therapeutic Splenic Ultrasound Insonation as a Modulator of Pro-atherogenic and Pro-asthmatic Immune Inflammation: A Preclinical Study Design

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D1.128 - Use of Tezepelumab in four Patients with Allergic Bronchopulmonary Aspergillosis and severe uncontrolled Asthma: A Case Series

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D1.130 - Immune markers after one year treatment with benralizumab in severe eosinophilic asthma

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D1.131 - Unconventional Group 2 Innate Lymphoid Cells Expressing C-Kit and IL-17A are Increased in Sputum from Severe Asthma with Mixed Granulocytic Airway Inflammation

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D1.134 - Type 2 innate lymphoid cells promote development and differentiation of neonatal lung stem/progenitor activity

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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

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D3.486 - Acute hepatitis B with atypical serological markers in a previously vaccinated patient receiving anti-CD20 obinutuzumab

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D3.487 - Intersection of Micronutrient Malabsorption Symptoms and Iron Deficiency in a Diet interaction in East African Population