• Confirming clinical subgroups and relevance to outcomes. |
• Developing personalized approaches to therapy based on clinical subgroups. |
• Application of all OMIC approaches to identify molecular signatures that will provide prognostic information. |
• Elucidating the genetic variants that confer risk or protection for OSA. |
• Enhancing clinical phenotypes based on new physiological approaches and applying these in routine care. |
• Understanding the reasons why some patients with OSA develop hypertension, CV disease, diabetes, etc. why others do not. |
• Evaluating whether treatment of OSA can affect the rate of progression of neurodegenerative disease and in which types of patients. |
• Development of mobile approaches for diagnosis and follow-up management of OSA. |
• Enhanced prediction tools based on information from several domains—obesity measure, symptoms, facial photography, etc. |
• Developing approaches to prevent OSA in individuals with upper airway compromise before they develop clinical disease. |
• Developing personalized approaches to therapy. |
• Understanding basis of different response to intra-oral devices and hypoglossal nerve stimulation. |
• Widespread participatory care for patients with OSA based on new technologies. |