Machine learning for predicting extubation success: secondary analysis of the COBRE-US study - Vienna 2024

Best abstracts in clinical problems

Chair(s): Georgios Kaltsakas, Shailesh Balasaheb Kolekar

Session type: Oral presentation

Machine learning for predicting extubation success: secondary analysis of the COBRE-US study

Fabio Andr Var?n Vega

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Machine learning for predicting extubation success: secondary analysis of the COBRE-US study

Fabio Andr Var?n Vega

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Proteins associated with preserved ratio impaired spirometry (PRISm)

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The airways fungal microbiota and risk for coronary heart disease in COPD patients and healthy controls

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Novel oral PORCN inhibitor does not alter the PK of nintedanib, an approved therapy for idiopathic pulmonary fibrosis

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The ERS Congress 2024, Vienna

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