Using advanced algorithms to analyze health data related to sleep apnea

Who could benefit from this research

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.

Why it matters

Where this research is happening

• 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

Related research

Other NIH-funded projects on the same topics.

• New machine learning tools to understand sleep data in adults with diabetes

  Researchers will develop new computer methods to analyze wearable sleep, glucose, and blood pressure data to help adults with type 2 diabetes and sleep apnea.

  NIH research University of Michigan at Ann Arbor · Ann Arbor, United States · NIH-11298995

• Improving WTC responder mental health with personalized sleep treatment for COMISA

  Aimed at helping World Trade Center responders who have both insomnia and sleep apnea feel better by using a tailored combination of sleep therapies.

  NIH research Icahn School of Medicine at Mount Sinai · New York, United States · NIH-11578881

• Digital tool to reduce HIV-related stigma in Nepal HIV care centers

  A user-friendly digital tool helps clinics measure and reduce stigma related to HIV, mental health, and other factors to improve care for people living with HIV.

  NIH research University of California, San Francisco · San Francisco, United States · NIH-11578771

• Central sleep apnea: how combined therapies could help you breathe better

  This NIH grant explores how a combination of therapies, including a breathing device and a drug, might reduce central sleep apnea for people with heart failure or opioid use, by targeting the body’s breathing control system.

  NIH research John D Dingell VA Medical Center · Detroit, United States · NIH-11516980

• Digital health strategies to expand lung cancer screening in safety-net clinics

  A funded project aims to help low-resource clinics increase the use of lung cancer screening for patients who smoke or are at risk.

  NIH research Utah State Higher Education System--University of Utah · Salt Lake City, United States · NIH-11509378

• Culturally tailored digital quit-smoking help for Hispanic/Latinx communities

  A digital smoking-cessation program will be culturally adapted for Hispanic/Latinx adults to help them quit smoking and reduce cancer disparities.

  NIH research Georgia State University · Atlanta, United States · NIH-11503919

About this research

1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.