Using a deep learning platform to improve the diagnosis of isolated dystonia
Official title: Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia
Funded at Massachusetts Eye and Ear Infirmary · NIH-10834006 · Data updated 2026-11-12
This study is testing a new tool called DystoniaNet to help doctors diagnose isolated dystonia more accurately and quickly, so people with this movement disorder can get the right help sooner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Eye and Ear Infirmary NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | June 1, 2022 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $674,349 |
| NIH project number | 5R01NS124228-03 |
| Project ID | NIH-10834006 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing symptoms of isolated dystonia, such as involuntary muscle contractions and abnormal movements.
✕Less likely to help
Patients with other movement disorders or those who do not exhibit symptoms of isolated dystonia may not benefit from this research.
What this research studies
This research aims to improve the diagnosis of isolated dystonia, a movement disorder characterized by involuntary muscle contractions. Currently, diagnosing this condition relies heavily on subjective clinical evaluations, leading to significant delays and inaccuracies. The study will utilize a deep learning platform called DystoniaNet, which analyzes biomarkers to provide a more objective and accurate diagnosis. By conducting both retrospective and prospective studies, the researchers hope to validate the effectiveness of this platform in clinical settings.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate diagnoses for patients with isolated dystonia.
How similar studies have gone: Previous research has shown promise in using deep learning and biomarker analysis for diagnosing various conditions, suggesting potential success for this novel approach.
Where this research is happening
-
Massachusetts Eye and Ear Infirmary
Boston, United States Active
Researchers
- Principal investigator: Simonyan, Kristina — Massachusetts Eye and Ear Infirmary
- Study coordinator: Simonyan, Kristina
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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.