Article Dans Une Revue Journal of Allergy and Clinical Immunology Année : 2025

Allergen Chip Challenge: a nationwide open database supporting allergy prediction algorithms

Caroline Klingebiel
Céline Beauvillain

Résumé

Background: Allergen chip technologies are a powerful tool for simultaneous analysis of hundreds of allergens, generating a comprehensive sensitization landscape for precision medicine in allergy. This considerable amount of data requires extensive knowledge for translation into clinically relevant conclusion. Objective: To harness Machine Learning (ML) for allergen chip interpretation in daily practice, we set out to establish a nationwide, open database of allergen chip, demographic and clinical information and to submit it to an international crowdsourced ML competition to generate a predictive allergy classification algorithm. Methods: The project consortium defined 20 clinical variables and 5 demographic factors for retrospective collection in conjunction with allergen chip IgE data (2014-2023) from 11 French University Hospitals. The dataset was processed to tag confirmed allergy, grade of severity, and culprit allergen identification associated with allergen chip data and submitted to the data challenge. Results: Data were collected for 4,271 patients, yielding a dataset with over 700,000 specific IgE data points. Sensitization was present in 3579 patients (84%). Allergy was confirmed in 2,236 patients (53%) and excluded in 1,076 patients, the remaining 959 being missing outcome data (allergy diagnosis labels). The competition attracted 292 data scientists who submitted 3,135 algorithms. The highest F-scores ranged from 0.780 to 0.786. The database was subsequently made available as an open source. Conclusions: We present a nationwide open allergy database designed to enable the development of predictive algorithms. This scalable framework, integrating clinical data with ML techniques paves the way for data-driven allergen chip use and interpretation by allergists.

Fichier principal
Vignette du fichier
Martinroche_2025.pdf (1.44 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence
DOI

Cite 10.60597/j5fe-g420 Jeu de données Société Française d’Allergologie & AllergoBioNet. (2024). Allergen Chip Challenge database (Version V1) [Data set]. Société Française d’Allergologie. https://doi.org/10.60597/J5FE-G420

Dates et versions

hal-05291392 , version 1 (06-03-2026)

Licence

Identifiants

Citer

Guillaume Martinroche, Amir Guemari, Pol André Apoil, Isabella Annesi-Maesano, Eric Fromentin, et al.. Allergen Chip Challenge: a nationwide open database supporting allergy prediction algorithms. Journal of Allergy and Clinical Immunology, 2025, 157 (1), pp.45-55. ⟨10.1016/j.jaci.2025.09.017⟩. ⟨hal-05291392⟩
234 Consultations
47 Téléchargements

Altmetric

Partager

  • More