Skip to main content
Loading...
Menu social network
LinkedIn
Facebook
X
Youtube
Menu top
Assistance
User account menu
Log in
Main navigation
Home
Programme
Download the app
App
Download the app
App
Menu
Login
Close
Main navigation mobile
Home
Programme
Menu top
Assistance
Menu social network
LinkedIn
Facebook
X
Youtube
20 results
D1.136 - Allergen awareness of patients in allergology consultations at the pneumophthisiology department of the Ignace Deen University Hospital
D1.134 - Mapping the Patient’s Journey Prior to Allergen Immunotherapy
D1.135 - ”Bee Pollen” as a Potential Trigger for Anaphylaxis: A Case Study
D1.137 - Characterization of Pana g 1, a novel allergen from Korean ginseng, Panax ginseng triggering Pollen-Food Allergy Syndrome
D1.138 - IgE cross-reactivity between grass species in the presence of Japanese cedar pollen sensitization
D1.139 - Staphylococcus aureus (carriage and sensitization) - is it a significant factor in allergic rhinitis?
D1.144 - Global variations of IgE cross-reactivity in Cupressus allergy
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
D1.148 - Heterogeneity of sensitization profiles between Central and Southern European allergic patients
D3.423 - Cross-Reactivity Among Hymenoptera Venoms: A Case Study on Apis, Vespula, and Polistes Allergens
D3.424 - Long-term efficacy and re-sting outcomes following venom immunotherapy discontinuation: A 978-patient analysis
D3.425 - Anaphylactic reaction to carpenter bee
D3.426 - The Frequency of Previous Large Local Reactions in a Group of 158 Patients with a History of Systemic Reaction after Insect Sting
D3.427 - Current practices in diagnosis and treatment of Hymenoptera venom allergy (HVA) in Poland
D3.428 - CAP-Inhibition use to diagnose genuine double sensitization to vespoid venoms: description of a spanish cohort
D3.429 - Performance Analysis of Five Large Language Models, Including GPTo1-Preview, On an Allergy and Clinical Immunology Exam
D3.430 - Artificial intelligence Chatbots Can Influence the Decision-Making and Behavior of Patients with Allergies: Results of a Multicenter Evaluation Study
D3.431 - Can Artificial Intelligence-Based Large Language Models Provide Accurate and Reliable Information to Asthma Patients? A Comparative Analysis with Expert Insights
D3.432 - Anti-inflammatory properties of IPA on epithelial barrier sites
D3.433 - Transcriptome kinetics of esophageal epithelial cells in response to interleukin 13
Download the app
The congress at your fingertips
Available on
Download