Using machine learning to find biomarkers for high blood pressure caused by sleep apnea
Machine Learning and Exosome Derived Biomarkers of Obstructive Sleep Apnea Induced Hypertension
This study is looking at how sleep apnea might cause high blood pressure and aims to find helpful markers for managing this issue, focusing on people who have just been diagnosed with moderate to severe sleep apnea and comparing them to those without it.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Illinois at Chicago NIH-funded |
| Lab location | 1 site (Chicago, UNITED STATES) |
| Project ID | NIH-10683802 on NIH RePORTER |
What this research studies
This research investigates how obstructive sleep apnea (OSA) can lead to high blood pressure and aims to identify specific biomarkers that can help manage this condition. The study will involve patients with newly diagnosed moderate to severe OSA and those without OSA, comparing their blood pressure profiles during sleep. By utilizing advanced machine learning techniques, particularly a Long-Short Term Memory (LSTM) network, researchers will analyze physiological signals from sleep studies to predict blood pressure changes. The goal is to develop a digital biomarker that can assist in treating hypertension related to OSA, ultimately improving patient outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have been newly diagnosed with moderate to severe obstructive sleep apnea.
Not a fit: Patients with mild or no obstructive sleep apnea may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better management of high blood pressure in patients with obstructive sleep apnea, reducing the risk of cardiovascular diseases.
How similar studies have performed: Previous research has shown promise in using machine learning approaches to analyze sleep data, indicating potential for success in this novel application.
Where this research is happening
Chicago, UNITED STATES
- University of Illinois at Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Prasad, Bharati — University of Illinois at Chicago
- Study coordinator: Prasad, Bharati
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.