Assistive technologies such as handheld tablets and eye-tracking devices are increasingly helping give voice to individuals with paralysis and speech impediments who otherwise would not be able to communicate. Now, researchers are directly harnessing electrical brain activity to help these individuals.
In a study published Wednesday in the New England Journal of Medicine, researchers at the University of California, San Francisco, describe an approach that combines a brain-computer interface and machine learning models that allowed them to generate text from the electrical brain activity of a patient paralyzed because of a stroke.
Unlock this article by subscribing to STAT+ and enjoy your first 30 days free!
GET STARTEDWhat is it?
STAT+ is STAT's premium subscription service for in-depth biotech, pharma, policy, and life science coverage and analysis. Our award-winning team covers news on Wall Street, policy developments in Washington, early science breakthroughs and clinical trial results, and health care disruption in Silicon Valley and beyond.
What's included?
- Daily reporting and analysis
- The most comprehensive industry coverage from a powerhouse team of reporters
- Subscriber-only newsletters
- Daily newsletters to brief you on the most important industry news of the day
- STAT+ Conversations
- Weekly opportunities to engage with our reporters and leading industry experts in live video conversations
- Exclusive industry events
- Premium access to subscriber-only networking events around the country
- The best reporters in the industry
- The most trusted and well-connected newsroom in the health care industry
- And much more
- Exclusive interviews with industry leaders, profiles, and premium tools, like our CRISPR Trackr.
About the Author Reprints
Create a display name to comment
This name will appear with your comment
