Using advanced algorithms to analyze health data related to sleep apnea
New machine learning methods for extracting features from digital health data with applications to sleep apnea
This study is looking at how obstructive sleep apnea affects blood sugar and blood pressure in people with type 2 diabetes, using smart technology to find patterns that can help improve their treatment and care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-11093438 on NIH RePORTER |
What this research studies
This research focuses on improving the understanding of how obstructive sleep apnea (OSA) affects glucose metabolism and blood pressure by utilizing advanced machine learning techniques. Researchers will analyze data from continuous glucose monitors (CGM) and ambulatory blood pressure monitors (ABPM) to identify patterns and features that traditional methods may overlook. The goal is to enhance the precision of treatment effects for patients with OSA and type 2 diabetes, ultimately leading to better management strategies. By developing new algorithms, the study aims to bridge the gap between complex health data and actionable insights for patient care.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with obstructive sleep apnea and type 2 diabetes.
Not a fit: Patients without sleep apnea or those who do not have type 2 diabetes may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments for patients with sleep apnea and diabetes, improving their overall health outcomes.
How similar studies have performed: Previous research has shown promise in using machine learning approaches to analyze health data, indicating potential for success in this novel application.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Gaynanova, Irina — University of Michigan at Ann Arbor
- Study coordinator: Gaynanova, Irina
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.