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88 results
001129 - From Symptoms to MBPT: A Machine Learning Approach to Asthma Diagnosis
100541 - Systematic evaluation of ChatGPT`s performance on 40 dermatological allergology questions with clinical error impact assessment for erroneous AI-guided chatbot-advice
D2.11 - A confidence score for basophil activation test: improving interpretation around diagnostic cutoffs
D2.77 - A Novel Neural Network for Quantifying Wheal and Erythema in Skin Prick Testing
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
D3.136 - Worse asthma control in patients with asthma and respiratory allergies in the CAPTURE study: Rationale for developing the RespiratoryAllergyOptimiser
D3.194 - Renewal’s analysis of liquid sublingual immunotherapy (SLIT) treatments using iPUMP: SPEED study, a Real-Life study
D3.389 - Deep Learning-Based Real-Time Identification of Wheezing in Lung Sounds: Applications in Disease Prediction and Early Intervention
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
D1.60 - Impact of real-world confounders on the accuracy of an AI model to support the read out of skin prick automated test results
000332 - Increased eosinophil-derived neurotoxin levels in serum of chronic spontaneous urticaria patients
000734 - A Systematic Review of Multidimensional Predictors for Refractory Chronic Rhinosinusitis
000773 - Stratification Value of Nasal Brushing Arachidonate 15-Lipoxygenase in Stapokibart (CM310) Treatment for Patients with Seasonal Allergic Rhinitis: Results from MERAK
D1.117 - Combing dual biologics therapy for severe asthma : a series of ten cases
D1.122 - Hydrogen peroxide in exhaled breath condensate as a marker for monitoring biologic treatment response in severe asthmatic patients
D1.124 - Predictive Factors of Clinical Remission in Severe Eosinophilic Asthma Treated with Benralizumab
D1.126 - Deciphering Genetic Causal Relationships and Molecular Mechanisms Linking Multiple Allergic Diseases and Schizophrenia
D1.130 - Associations between Serum Clara Cell Protein 16 (CC16) and Asthma Severity in Children
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