Cochlear implant strategies powered by machine learning
Official title: The Development and Testing of Cochlear Implant Strategies Using Machine Learning
Funded at Massachusetts Institute of Technology · NIH-11439165 · Data updated 2026-11-12
A machine-learning driven approach to improve how cochlear implants convert sound into electrical signals for people with severe hearing loss.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Institute of Technology NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | August 5, 2026 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $421,839 |
| NIH project number | 1R21DC024042-01 |
| Project ID | NIH-11439165 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults or older children with a cochlear implant who can participate in listening tasks and follow study procedures.
✕Less likely to help
Some participants may not experience noticeable improvements in hearing with the tested strategies.
What this research studies
If you or your loved one relies on a cochlear implant, this project tests new ways to translate sound into electrical stimulation using advanced computer algorithms. The goal is to help users understand speech better, especially in noisy places, by optimizing how the device delivers sound signals. Researchers will compare different stimulation strategies in people using cochlear implants to see which options offer clearer, more natural hearing over time. The study builds on real-world use to identify practical improvements that could reduce frustration and social isolation caused by challenging listening environments.
Why it matters
Potential benefit: If successful, this research could lead to cochlear implants that hear speech more clearly in noisy settings and feel more natural to the user.
How similar studies have gone: Previous work shows promise for signal-processing improvements, but larger, personalized testing is needed to confirm benefits.
Where this research is happening
-
Massachusetts Institute of Technology
Cambridge, United States Active
Researchers
- Principal investigator: Mcdermott, Josh H — Massachusetts Institute of Technology
- Study coordinator: Mcdermott, Josh H
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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.