Project neuroQWERTY announces progress in Parkinson’s detection in recent clinical study
Cambridge, Massachusetts—Project team neuroQWERTY published their latest findings today in Scientific Reports, announcing positive evidence from clinical studies that their innovative technology might be able to detect early signs of Parkinson’s disease through ordinary keyboard use.
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Computer keyboard interaction as an indicator of early Parkinson’s disease
Team neuroQWERTY is developing a technology that evaluates a person’s ordinary keyboard use, such as on a laptop computer or mobile phone, to detect tiny motor delays that could signal the onset of Parkinson’s disease. The project, and their recent milestone, were covered today in MIT News.
“Our recent clinical study showed that our technology can distinguish Parkinson’s patients from healthy controls,” said Luca Giancardo, a 2013 Catalyst Fellow and team member. “Now we will try to go earlier than the Parkinson’s diagnosis, to see if we can distinguish at-risk patients from healthy controls.”
Giancardo and Álvaro Sánchez Ferro, another Catalyst Fellow involved in neuroQWERTY, were interviewed on its technology, recent progress, and potential future applications. Download the interview MP3 or listen to it on YouTube.