Using digital tools to measure movement problems in Huntington's disease.
Official title: Measuring Digital Clinical Endpoints in Huntington's Disease (MEND-HD)
Funded at University of Rochester · NIH-11093024 · Data updated 2026-11-12
This study is looking at how wearable sensors can help track movement problems in people with Huntington's disease, making it easier to see changes in their daily activities, heart health, and sleep, so that doctors can better understand how the disease is progressing and how well treatments are working.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | September 15, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $1,100,000 |
| NIH project number | 1U01FD008429-01 |
| Project ID | NIH-11093024 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Huntington's disease, particularly those in the early stages of the condition.
✕Less likely to help
Patients with advanced Huntington's disease or those without a confirmed diagnosis may not benefit from this research.
What this research studies
This research focuses on improving the assessment of motor impairments in individuals with Huntington's disease (HD) by utilizing digital health technologies. It aims to evaluate the effectiveness of wearable sensors in capturing subtle motor features, such as gait impairments and involuntary movements, which are often missed by traditional assessment methods. By employing tailored machine learning techniques, the study seeks to provide reliable and valid measurements of daily physical activity, heart rate variability, and sleep patterns in HD patients. This innovative approach could lead to more accurate monitoring of disease progression and response to treatment.
Why it matters
Potential benefit: If successful, this research could lead to more precise and early detection of motor impairments in Huntington's disease, improving patient care and treatment outcomes.
How similar studies have gone: Previous research has shown promise in using digital health technologies for monitoring motor symptoms in various neurological conditions, indicating a potential for success in this novel approach.
Where this research is happening
-
University of Rochester
Rochester, United States Active
Researchers
- Principal investigator: Adams, Jamie Lynn — University of Rochester
- Study coordinator: Adams, Jamie Lynn
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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.