Improving Heart Health Prediction and Treatment in Sleep Apnea with Advanced AI
Official title: Enhancing Cardiovascular Risk Prediction and Treatment Response in Sleep Apnea Patients Using Advanced AI-based Transformer Models in Multi-Modal Sleep Data
Funded at Icahn School of Medicine at Mount Sinai · NIH-11384496 · Data updated 2026-11-12
A new NIH grant aims to use smart AI tools to better predict heart risk and tailor CPAP treatment for people with sleep apnea using data from sleep tests.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 1, 2025 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $822,432 |
| NIH project number | 5R01HL175992-02 |
| Project ID | NIH-11384496 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with suspected or diagnosed obstructive sleep apnea who have polysomnography data and are candidates for CPAP therapy.
✕Less likely to help
Patients whose sleep studies do not reveal actionable patterns for risk prediction or who do not use CPAP may see limited benefit.
What this research studies
This project will analyze multiple streams of sleep study data with transformer-based AI to improve how we predict cardiovascular risk in people with obstructive sleep apnea. By looking beyond traditional AHI measures, it seeks to identify which patients are most likely to benefit from CPAP therapy and how to personalize treatment. Researchers will work with data from polysomnograms collected in clinic or at home, applying advanced machine-learning models to uncover patterns linked to heart health. The goal is to create better, individualized risk scores and treatment recommendations that can be used in real clinical settings. If successful, this approach could lead to more effective prevention of cardiovascular events in sleep apnea patients.
Why it matters
Potential benefit: Patients could receive more accurate heart-risk assessments and personalized CPAP treatment plans, potentially reducing cardiovascular events.
How similar studies have gone: prior AI and sleep research show promise, but transformer-based multimodal analysis for CV risk in sleep apnea is still emerging.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Nadkarni, Girish Nitin — Icahn School of Medicine at Mount Sinai
- Study coordinator: Nadkarni, Girish Nitin
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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.