Skip to main content
Home
Loading...
Menu social network
  • LinkedIn
  • Facebook
  • X
  • Youtube

Menu top

  • Assistance

User account menu

  • Log in
Home

Main navigation

  • Home
  • Programme
Menu Login
Close

Main navigation mobile

  • Home
  • Programme

Menu top

  • Assistance
Menu social network
  • LinkedIn
  • Facebook
  • X
  • Youtube
Filters
Filters Close
Poster topics
  • Aerobiology and pollution (41)
  • Allergen immunotherapy (81)
  • AllergoOncology (15)
  • Allergy asthma and a sport (4)
  • Allergy diagnosis (235)
  • Allied health and primary care (20)
  • Anaphylaxis (113)
  • x Artificial Intelligence (12)
  • Asthma (185)
  • Basic immunology (58)
  • Biologicals (90)
  • Biomarkers (64)
  • Comparative veterinary allergology (1)
  • COVID19 (11)
  • Dermatology (125)
  • Drug allergy (172)
  • ENT (29)
  • Environmental allergy and climate change (31)
  • Eosinophilic esophagitis (21)
  • Epidemiology (66)
  • x Epithelial cell biology (8)
  • Food allergy (195)
  • Genomics and proteomics (17)
  • Immune deficiencies and autoimmunity (80)
  • Immunomodulation and nutrition (13)
  • Infections (27)
  • Insect venom hypersensitivities (19)
  • Mastocytosis and mast cells (24)
  • x Microbiome (9)
  • Occupational allergy (27)
  • Ocular allergy (5)
  • One Health (13)
  • Pediatrics (144)
  • Prevention (40)
  • Systems medicine (13)
Poster available until
  • Until platform closure (3)
Poster categories
  • e-Thematic Poster Session (3)
  • Thematic Poster Session (25)
keywords
Session Reference
  • L-TPS03 (1)
  • L-TPS09 (1)
  • L-TPS18 (1)
  • TPS05 (1)
  • TPS08 (1)
  • TPS10 (2)
  • TPS17 (1)
  • TPS19 (1)
  • TPS25 (1)
  • TPS31 (2)
  • TPS38 (2)
  • TPS44 (1)
  • TPS56 (1)
  • TPS57 (2)
  • TPS64 (1)
  • TPS68 (1)
  • TPS69 (1)
  • TPS73 (5)
29 results
Thumbnail

001129 - From Symptoms to MBPT: A Machine Learning Approach to Asthma Diagnosis

Thumbnail

100541 - Systematic evaluation of ChatGPT`s performance on 40 dermatological allergology questions with clinical error impact assessment for erroneous AI-guided chatbot-advice

Thumbnail

D2.11 - A confidence score for basophil activation test: improving interpretation around diagnostic cutoffs

Thumbnail

D2.77 - A Novel Neural Network for Quantifying Wheal and Erythema in Skin Prick Testing

Thumbnail

D3.429 - Performance Analysis of Five Large Language Models, Including GPTo1-Preview, On an Allergy and Clinical Immunology Exam

Thumbnail

D3.430 - Artificial intelligence Chatbots Can Influence the Decision-Making and Behavior of Patients with Allergies: Results of a Multicenter Evaluation Study

Thumbnail

D3.431 - Can Artificial Intelligence-Based Large Language Models Provide Accurate and Reliable Information to Asthma Patients? A Comparative Analysis with Expert Insights

Thumbnail

D3.136 - Worse asthma control in patients with asthma and respiratory allergies in the CAPTURE study: Rationale for developing the RespiratoryAllergyOptimiser

Thumbnail

D3.194 - Renewal’s analysis of liquid sublingual immunotherapy (SLIT) treatments using iPUMP: SPEED study, a Real-Life study

Thumbnail

D3.389 - Deep Learning-Based Real-Time Identification of Wheezing in Lung Sounds: Applications in Disease Prediction and Early Intervention

Thumbnail

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

Thumbnail

D1.60 - Impact of real-world confounders on the accuracy of an AI model to support the read out of skin prick automated test results

Thumbnail

D2.127 - The bacterial lysate OM-85 mitigates HDM-induced allergic inflammation through the airway epithelial cell- macrophage crosstalk

Thumbnail

D2.299 - A novel synthetic molecule LN49 suppressed oxidative stress and inflammation in skin epithelial and fibroblast cells via activating Nrf-2 signaling pathway

Thumbnail

D2.306 - Sodium dodecyl sulfate impairs the skin epithelial barrier by inducing oxidative stress in human skin

Thumbnail

D3.142 - Differential Impact of Heat-not-Burn Tobacco Products and Conventional Cigarettes on Pulmonary Cells and Immune Response

Thumbnail

D3.372 - SLC27A2 marks lipid peroxidation in nasal epithelial cells driven by type 2 inflammation in chronic rhinosinusitis with nasal polyps

Thumbnail

D3.432 - Anti-inflammatory properties of IPA on epithelial barrier sites

Thumbnail

D3.433 - Transcriptome kinetics of esophageal epithelial cells in response to interleukin 13

Thumbnail

D2.390 - Effects of Cigarette Smoke on Expression and Rhythmicity ofr Core Circadian Genes in Peripheral Blood Mononuclear Cells (PBMC) and Bronchial Epithelial Cells

Pagination

  • Current page 1
  • Page 2
  • Next page Next
  • Last page Last
Download the app
The congress at your fingertips

Available on

App Store Google Play
QR Code Download
Mobile App Schedule page
Mobile App Home page
Menu social network
  • LinkedIn
  • Facebook
  • X
  • Youtube
© 2025 EAACI
Made with   by CYIM