At-home health monitoring for patients with acute kidney injury using AI technology
Official title: SCH: Artificial Intelligence enabled multi-modal sensor platform for at-home health monitoring of patients
Funded at Arizona State University-Tempe Campus · NIH-10894848 · Data updated 2026-11-12
This study is testing a new at-home health monitoring system called MUSE for people who have had acute kidney injury, helping them keep track of their health and get reminders to see a doctor if needed.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Arizona State University-Tempe Campus NIH-funded |
| Lab location | 1 site (Tempe, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $295,773 |
| NIH project number | 5R01EB035403-02 |
| Project ID | NIH-10894848 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults over 21 years old who have experienced an episode of acute kidney injury.
✕Less likely to help
Patients who have not experienced acute kidney injury or those under 21 years old may not benefit from this research.
What this research studies
This research develops an innovative platform called MUSE that enables at-home health monitoring for patients who have experienced acute kidney injury (AKI). The platform utilizes a combination of sensors, including a colorimetric dipstick for urine analysis and a stretchable ECG patch, to collect vital health data. An AI-enabled mobile application processes this data to assess the risk of AKI recurrence and prompts patients to seek specialized care when necessary. This approach aims to improve follow-up care for AKI survivors, who often face barriers to accessing traditional healthcare services.
Why it matters
Potential benefit: If successful, this research could significantly enhance the health outcomes of patients recovering from acute kidney injury by providing timely monitoring and intervention.
How similar studies have gone: Other research has shown promise in using AI and remote monitoring technologies for chronic disease management, indicating potential success for this novel approach.
Where this research is happening
-
Arizona State University-Tempe Campus
Tempe, United States Active
Researchers
- Principal investigator: Sanyal, Arindam — Arizona State University-Tempe Campus
- Study coordinator: Sanyal, Arindam
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.