Advancing diagnostic precision: Unveiling sensitization relationships between cat, dog, and horse allergen molecules.

Bulent Enis SekerelGulnar Aliyeva

Published in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2024)

Correlations and hierarchical clustering can unveil the extent and magnitude of cross-, co-, and genuine sensitization relationships among animal AMs. These insights can be leveraged to enhance artificial intelligence algorithms, improving diagnostic accuracy through the integration of other measures of sensitization.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
single cell
allergic rhinitis