Can artificial intelligence (AI) replace oral food challenge?
Author:
Funder
National Institute of Allergy and Infectious Diseases
US Patent and Trademark Office of Policy and International Affairs
Stanford Bio-X
National Institutes of Health
Publisher
Elsevier BV
Reference10 articles.
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3. Castaño N, Chua K, Kaushik A, Kim S, Cordts SC, Nafarzadegan CD, et al. Combining avidin with CD63 improves basophil activation test accuracy in classifying peanut allergy [e-pub ahead of print]. Allergy https://doi.org/10.1111/all.15930. Accessed November 2, 2023.
4. Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via long short-term memory networks;Metwally;PLoS Comput Biol,2019
5. Prediction of oral food challenge outcomes via ensemble learning;Zhang;Informatics in Medicine Unlocked,2023
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