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May 18, 2024Journal of Allergy and Clinical Immunology GlobalOpen Access

Predictive genetic panel for adult asthma using machine learning methods

Luciano Gama da Silva Gomes Álvaro Augusto Souza da Cruz Maria Borges Rabêlo de Santana Gabriela Pimentel Pinheiro Cinthia Vila Nova Santana Carolina Barbosa Souza Santos Meher Preethi Boorgula Monica Campbell Adelmir de Souza Machado Rafael Veiga Kathleen C Barnes Ryan dos Santos Costa Camila Alexandrina Figueiredo

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Abstract

Asthma is a chronic inflammatory disease of the airways that is heterogeneous and multifactorial, making its accurate characterization a complex process. Therefore, identifying the genetic variations associated with asthma and discovering the molecular interactions between the omics that confer risk of developing this disease will help us to unravel the biological pathways involved in its pathogenesis.

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Gomes et al. (2024) studied this question.

synapsesocial.com/papers/68e69710b6db64358761dd61 https://doi.org/10.1016/j.jacig.2024.100282

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