Machine learning‐based prediction of inborn errors of immunity in patients with low IgE levels

Pediatric Allergy and Immunology 2026

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Authors: Ali Şahin, Gamze Sonmez, Hilal Ünsal, Deniz Cagdas
DOI: 10.1111/pai.70283
Cited by: 2
References: 10

Abstract

BACKGROUND: Low total serum IgE has emerged as a potential marker of inborn errors of immunity (IEI), but no predictive tool exists to stratify risk in pediatric patients. METHODS: In this retrospective study, 677 children with IgE

Fields of Study & Subjects

Immunodeficiency and Autoimmune Disorders Respiratory viral infections research Platelet Disorders and Treatments

Publication details

Journal / source
Pediatric Allergy and Immunology
Publisher
Wiley
Volume
37
Issue
1
Pages
e70283–e70283
Publication date
1 January 2026
Language
EN