Scalable Open Source Data Science for Parkinson's Disease.

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A Scalable Computational Data Science Toolkit for High-Frequency Assesements of PD Symptoms

The goal of this project is to design, develop and validate a comprehensive PD data science toolkit targeting the development of robust clinical outcome measures for therapeutic trials and supporting longitudinal investigations of disease mechanism through the analysis of data collected primarily from wearables and smartphones.

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Digital Biomarkers

Tremor, tapping, bradykinesia, gait and more.

UPDRS Scoring

Automatic scoring through clustering and calssification (April 2018).


Cloud-based stream-processing (Q3 2018).


Packaged in Docker containers for easy deployment (Q2 2018).