nQ started as a project at MIT. After 5 years of research and development, $1M of resources including grants from the Michael J. Fox Foundation, and multiple patent filings, the technology is ready for commercialization. Leading the effort, is serial entrepreneur and one of the “100 most influential people in Pharma”, Richie Bavasso, CEO.
Our technology is able to detect subtle neuromotor disease symptoms, and quantitate them into a score, which we call the nQi™ score.
The graphical representation of what we do looks like this:
What you are looking at is a digital biomarker for a persons typing patterns. Each pixel is a graphical representation of keystroke timing data. The brighter the pixel, the quicker the more keystrokes with similar timings, and the narrower the band, the less deviation in timings.
Below is the difference between a healthy patient, and a patient with severe Parkinson’s symptoms:
While it may be easy to differentiate the symptoms here, identifying symptoms 5-10 years earlier requires some advanced Machine Learning, which is where we introduce the team:
Who We Are:
Luca Giancardo, PhD
Inventor, Chief Technology Advisor
The idea of looking at passive computer interaction came to me in the summer of 2013 while I was at MIT looking for projects that could have a positive impact for human health and that could be piloted in a short (i.e. a year) time frame.
After reading multiple reports on the urgency of finding tools to better understand neurodegenerative disease, I remember about research done using typing activities as biometrics, i.e. password replacements/enhancers. After digging more into the research papers, I realized that existing research reported that, in some cases, it was hard to run the identification routine for a long periods of time because of noise in the typing signal. Then, I realized that what is was considered signal noise could have been due to some form of psychomotor impairment. Afterward, I teamed up with a neurologist and we started to pitch the idea and run our first pilot study
Teresa Arroyo-Gallego, PhD:
Lead Data Scientist
Trying to represent our core output, the logo has been an attempt to represent our nQi score above:
Originally named NeuroQWERTY (Brain Keyboard), we shortened to nQ, and added Medical. We are NOT tied to this name, and in fact incorporated it as a placeholder until considerable branding efforts could be put forth.