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Parkinson’s disease (PD) — a neurodegenerative disorder that affects movement, cognition, mood and autonomic function — affects an estimated 5 million people worldwide. Because symptoms vary from individual to individual, research into the disease is further complicated by the lack of objective data. As is typical of many applications used for clinical research, the collection, storage, and analysis of data is complex, expensive, and time-consuming. The Michael J. Fox Foundation for Parkinson’s Research (MJFF) supported Intel to build a big data analytics platform with AWS’s infrastructure, using Hadoop and other IoT technologies. The platform collects and processes large stream of sensor data from smartphones and wearable devices, and will make this data available to researchers for analysis. This video highlights how the Foundation is using big data to gain new insights into Parkinson’s disease and further accelerate a cure.
Publisher: Amazon Web Services
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