Exacerbation risk prediction in pediatric wheeze or asthma patients using machine-learning-based integrative omics analyses. - Amsterdam 2025

Paediatric severe asthma and clinical trials

Chair(s): Astghik Baghdasaryan, Jon Konradsen

Session type: Poster session

Exacerbation risk prediction in pediatric wheeze or asthma patients using machine-learning-based integrative omics analyses.

Cristina Longo

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Childhood disadvantage factors and Paediatric Intensive Care use for severe acute asthma in the Netherlands

Sarah Van Den Berg

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Exacerbation risk prediction in pediatric wheeze or asthma patients using machine-learning-based integrative omics analyses.

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Abstract

Mepolizumab treatment in children and adolescents with severe eosinophilic asthma (CASAM)-A real-world study: 12 months analysis

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Abstract

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The ERS Congress 2025, Amsterdam

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