Columbia’s Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)

 Columbia’s Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)

Columbia’s Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)

Shots: 

  • The BCI application focuses on human auditory cortex for the reconstruction of unspoken thoughts into speech for patients have who lost their ability to speak due to stroke, injury, and disease such as ALS
  • The technology includes vocoder, a computer algorithm used for interpreting brain activity will that connects a direct pathway with brain utilizing the thoughts with AI-based software and is similar to Amazon Echo and Apple Siri for verbal responses
  • The research was performed on epileptic patients by NIH (DC014279), with recorded brain signals by vocoder during speaking & listening and cleaned & analyzed by neural networks that mimic the structure of neurons in a brain

Click Here to read full press release/ article | Ref: Columbia University | Image: Virology

Shiwani Sharma

Shiwani Sharma is a Senior Editor at PharmaShots. She has in-depth knowledge of lifesciences industry including pharma and biotech sectors. She also covers news in field of Digital Health, Medtech and regulatory approvals from the US FDA, EU, and other global regulatory bodies in the industry. Additionally, she also writes Whitepapers, analysis reports, blogs on pharma and biotech industry. She is graduate in Biotechnology. She can be contacted on shiwani@pharmashots.com

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