Follow-up of airway inflammation of asthmatic patients using an Artificial Intelligence driven sputum cell count and classification - Vienna 2024

Clinical and biological outcomes in asthma

Chair(s): Tania Maes, Florence Schleich

Session type: Oral presentation

Follow-up of airway inflammation of asthmatic patients using an Artificial Intelligence driven sputum cell count and classification

Adeline Rosu

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Late Breaking Abstract - Salivary metabolites profiling for diagnosis of COPD

Tao Fan

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Multivariable prognostic relations of asthma attack risk factors in the ORACLE patient-level meta-analysis

Fleur L. Meulmeester

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An Observational and Translational Pilot Study Phenotyping the Responses to Systemic Corticosteroids in the Management Asthma Attacks (PRISMA): interim translational results.

Carlos Andr Celis Preciado

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Dose-dependent association between inhaled corticosteroids and risk of corticosteroid related adverse events in asthma

Anna Von B?low

Replay

Abstract

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Nasal sampling identifies disease-relevant signals in a real-world airways disease cohort

Adnan Azim

Replay

Poster

Abstract

Slides

Follow-up of airway inflammation of asthmatic patients using an Artificial Intelligence driven sputum cell count and classification

Adeline Rosu

Replay

Poster

Abstract

Slides

The Asthma Control Test as a predictive tool for hospitalization and death

Johanna Karlsson Sundbaum

Replay

Abstract

Slides

Excess SABA prescribing in respiratory patients and social deprivation in general practice: A study of 4 million patients

Michael Crooks

Replay

Abstract

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Clinical outcome of mild to very-mild asthma with high sputum eosinophils: a prospective longitudinal study.

Andr?anne C?t

Replay

Poster

Abstract

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Innovative Point-of-Care Breath Test for Early Asthma Diagnosis: Integration of Deep Neural Network Technology and Nanosensors

Hanya Ahmed

Replay

Poster

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Discussion and Q&A

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The ERS Congress 2024, Vienna

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