IGHE and food allergy: Specifically, machine learning (ML) frameworks, defined as a subset of AI involving teaching machines to emulate human learning while avoiding explicit programming, have utilized biomarkers including omics, total IgE, sIgE, sIgG4, and SPT data to successfully predict food allergy in infant populations (67).