Revealing therapeutically actionable targets in Obstructive Sleep Apnea through machine learning-based miRNome analysis - Vienna 2024

Transitioning from basic science to translational research in sleep-disordered breathing

Chair(s): Carolina Lombardi, Adriano D. S. Targa

Session type: Oral presentation

Revealing therapeutically actionable targets in Obstructive Sleep Apnea through machine learning-based miRNome analysis

Thal Belmonte

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Late Breaking Abstract - Prevalence and incident subclinical atherosclerosis in obstructive sleep apnea. The EPIOSA study

Jose Maria Marin Trigo

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Revealing therapeutically actionable targets in Obstructive Sleep Apnea through machine learning-based miRNome analysis

Thal Belmonte

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Novel pulse oximetry-derived measures of obstructive sleep apnoea severity and cardiovascular function in heart failure with preserved ejection fraction patients.

Glenn Stewart

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EFFECT OF OBSTRUCTIVE SLEEP APNEA DURING PREGNANCY ON FETAL DEVELOPMENT: GENE EXPRESSION PROFILE IN CORD BLOOD

Laura C?naves

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OSA induces an altered proteomic profile linked to cardiovascular and organ damage in nocturnal hypertension

Krish Dodani

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Impact of CPAP on miR-210-3p, miR485-5p and the LncRNAs MALAT1/BACE1-AS in OSA

Francesco Fanfulla

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PFKFB3 driven glycolysis mediates inflammation and Leukocyte Extravasation in CIH induced atherosclerosis

Shiqi Li

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PSGL-1/SIGLEC-5 and CD39/CD73 axes are dysregulated in obstructive sleep apnea

Elena D?az Garc

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Auto-CPAP performances to Real-life Leak Patterns: A High-fidelity Modeling Approach

Marius Lebret

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Adaptive servo-ventilation (ASV) in patients with central or complex sleep apnoea and associated cardiovascular comorbidities: the READ-ASV registry

Michael Arzt

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Discussion and Q&A

CDN Connection Issue

The ERS Congress 2024, Vienna

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