Tag Archives: machine learning

Terp Startup Synapto Looks to Change the Game for Diagnosing Alzheimer’s

This summer, the Dingman Center will be conducting interviews with the ten student startups who are participating in the Terp Startup summer accelerator phase of our Fearless Founders program. Participating student entrepreneurs received a stipend up to $5,000 that would enable them to work exclusively on their startups over eight weeks in the summer.


Synapto co-founders Anoop Patel and David Boegner


Co-Founder and Lead Machine Learning Engineer: Anoop Patel ’20, Bioengineering major, Computer Science minor
Co-Founder and Lead Systems Engineer: David Boegner ’20, Bioengineering major

Not in Terp Startup:
Co-Founder and CEO: Dhruv Patel ’20, Bioengineering major
Co-Founder and CTO: Chris Look ’20, Bioengineering, Computer Science double major
Co-Founder and Lead Software Engineer: Megha Guggari, ’20, Computer Science major

DC: Tell us about your startup. What problem are you solving and for whom?

Synapto: Synapto is an early stage biotech venture aiming to revolutionize the diagnosis of Alzheimer’s Disease through portable electroencephalogram (EEG) and machine learning. This technology allows for a cheaper, faster and more quantitative method of detection in comparison to current qualitative questionnaires and costly neuroimaging techniques (PET, MRI). Detecting the disease earlier allows more time for financial and legal planning, and provides the opportunity to enter clinical trials sooner, improving the drug development landscape.

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