OMICS data as predictors of co-morbidity outcomes in OSA - 2024 - Sleep apnea and its consequences: from animal models to precision medicine

Basic models to explore the deleterious effect of sleep apnoea: Depicting predictors of sleep apnoea-related comorbidities

Chair(s): Silke Ryan, Ali Azarbarzin

Session type: Session

OMICS data as predictors of co-morbidity outcomes in OSA

Rene Cortese

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Exploring the deleterious consequences of OSA in animal models

Claire Arnaud

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Algorithms approach to stratify risk of OSA co-morbidity outcomes: Hypoxic burden, pulse wave amplitude and heart rate variability

Raphael Heinzer

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Coffee break and poster viewing

Artificial intelligence and risk stratification in OSA: Benefits and limitations

Margaux Blanchard

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OMICS data as predictors of co-morbidity outcomes in OSA

Rene Cortese

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Panel discussion

Rene Cortese

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Lunch

OP01 - PCSK9 as a new player in intermittent hypoxia-induced vascular alterations

Anne Briancon-marjollet

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OP02 - Rearrangement of Cell Types in the Rat Carotid Body Neurogenic Niche Induced by Chronic Intermittent Hypoxia

Candelaria Caballero Eraso

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OP03 - Real World Evidence using Causal Inference of Positive Airway Pressure Utilisation on Cardiovascular Incidence and Mortality

Diego Mazzotti

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OP04 - A new classification enables precision medicine to improve adherence to Continuous Positive Airway Pressure in obstructive sleep apnoea

Samantha Amanda Sathyapala

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OP Discussion

CDN Connection Issue

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