Late Breaking Abstract - Deep Learning Improves Sex-Specific Prediction for COPD Risks from Preserved Ratio Impaired Spirometry - Amsterdam 2025

The cause of respiratory symptoms: new insights from exercise physiology

Chair(s): Zander J Williams, James H. Hull

Session type: Oral presentation

Late Breaking Abstract - Deep Learning Improves Sex-Specific Prediction for COPD Risks from Preserved Ratio Impaired Spirometry

Xianwen Sun

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Late Breaking Abstract - Deep Learning Improves Sex-Specific Prediction for COPD Risks from Preserved Ratio Impaired Spirometry

Xianwen Sun

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Global lung function initiative reference values for cardiopulmonary exercise testing

Thomas Radtke

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Breathlessness abnormality is best assessed at peak exercise during incremental cardiopulmonary cycle exercise testing

Magnus Ekström

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Quantifying dynamic mechanical-ventilatory constraints and exertional dyspnoea during incremental CPET in fibrosing ILD

J. Alberto Neder

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Comorbidities and prevalence of dysfunctional breathing in patients referred for cardiopulmonary exercise testing due to exertional dyspnea

Georg Knöpfel

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Exertional physiological assessments to aid in the diagnosis of breathing pattern disorder

Cori Fratelli

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Latent effects of spontaneous sighing upon respiration during exercise

Eric Harbour

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Does diaphragm fatigue affect inspiratory capacity during cardiopulmonary exercise testing?

Michele Schaeffer

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Patterns of dynamic IC recruitment in COPD: resting correlates and sensory-functional consequences to exercise responses

Danilo C Berton

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Treatment of exercise-induced laryngeal obstruction (EILO) a randomized controlled trial (RCT)

Praveen Muralitharan

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Discussion and Q&A

CDN Connection Issue

The ERS Congress 2025, Amsterdam

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