Using earwax chemical profiles to detect Meniere's disease
Development of a Machine Learning Prediction Model for the Detection of Meniere's Disease from Cerumen Chemical Profiles
This study is looking at how the makeup of your earwax might help doctors tell if you have Meniere's disease, which causes dizziness and hearing loss, by using special technology to analyze your earwax samples for clues that could lead to quicker and more accurate diagnoses.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | State University of New York at Albany NIH-funded |
| Lab location | 1 site (Albany, United States) |
| Project ID | NIH-10645213 on NIH RePORTER |
What this research studies
This research investigates how the chemical composition of earwax, or cerumen, can be used to identify Meniere's disease, a condition that causes severe dizziness and hearing loss. By analyzing the chemical profiles found in earwax samples, researchers aim to develop a machine learning model that can accurately differentiate Meniere's disease from other similar neurological disorders. This approach could lead to faster and more precise diagnoses, reducing the time and effort currently required to identify the condition. Patients will provide earwax samples, which will be analyzed using advanced techniques to uncover potential chemical markers associated with the disease.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing symptoms of Meniere's disease, such as vertigo, tinnitus, and hearing loss.
Not a fit: Patients who do not exhibit symptoms of Meniere's disease or related neurological disorders may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to quicker and more accurate diagnoses for patients suffering from Meniere's disease.
How similar studies have performed: While the use of chemical profiles for diagnosis is a novel approach, similar methodologies in other conditions have shown promise in improving diagnostic accuracy.
Where this research is happening
Albany, United States
- State University of New York at Albany — Albany, United States (Active)
Researchers
- Principal investigator: Musah, Rabi a — State University of New York at Albany
- Study coordinator: Musah, Rabi a
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 below.