AIMC Topic: Food Hypersensitivity
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Can ChatGPT provide parent education for oral immunotherapy?
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Apr 24, 2025
BACKGROUND: Oral Immunotherapy (OIT) has exhibited great potential in the treatment of food allergy. However, there is no global consensus on best practices of OIT. Parents of allergic children often struggle with concerns regarding OIT methodology, ...
Can artificial intelligence (AI) replace oral food challenge?
The Journal of allergy and clinical immunology
Jan 21, 2024
Food protein-induced allergic proctocolitis in infants is associated with low serum levels of macrophage inflammatory protein-3a.
Journal of pediatric gastroenterology and nutrition
Dec 11, 2023
BACKGROUND: Food protein-induced allergic proctocolitis (FPIAP) is a nonimmunoglobulin (IgE)-mediated food hypersensitivity and the exact mechanisms that cause FPIAP are unknown. Chemokines play crucial roles in the development of allergic diseases.
Natural language processing of pediatric progress notes for the identification of food allergy.
The journal of allergy and clinical immunology. In practice
Apr 23, 2023
A novel method based on infrared spectroscopic inception-resnet networks for the detection of the major fish allergen parvalbumin.
Food chemistry
Sep 6, 2020
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on infrared spectroscopy (IR) for rapid and specific detection of the fish allergen parvalbumin. SDS-PAGE and ELISA were used to validate the new method. T...
Fishes
Fish Proteins
Parvalbumins
Allergens
Neural Networks, Computer
Mice, Inbred BALB C
Spectrophotometry, Infrared
Food Analysis
Food Hypersensitivity
Reproducibility of Results
Fish Products
Enzyme-Linked Immunosorbent Assay
Electrophoresis, Polyacrylamide Gel
Mice
Support Vector Machine
Animals
phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.
Bioinformatics (Oxford, England)
Nov 5, 2021
MOTIVATION: Research shows that human microbiome is highly dynamic on longitudinal timescales, changing dynamically with diet, or due to medical interventions. In this article, we propose a novel deep learning framework 'phyLoSTM', using a combinatio...
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