A Data Challenge for Parkinson’s Disease

Description

This project will assemble a team to participate in the Biomarker and Endpoint Assessment to Track Parkinson’s Disease (BEAT-PD) DREAM Challenge by the Michael J. Fox Foundation and Sage Bionetworks. The challenge is designed to benchmark new methods to predict Parkinson’s disease progression. Teams participating in the Challenge will have access to raw sensor data that can be used to predict individual medication state and symptom severity. Specifically, teams are asked to develop methods to predict on/off medication status, dyskinesia severity, and/or tremor severity.

Awards

• Highlighted Project

Students

• Nazgol Tavabi

• Che-Pai Kung

• Abhivineet Veeraghanta

• Likitha Lakshminarayanan

Advisors

• Neda Jahanshad

Skills Required by the team

• Data Science

Final presentation resources

• Final presentation