Wearable sensors: MJFF's wearable sensor platform to quantify PD in clinical trials and across patient populations Ken Kubota Director of Data Science.

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Presentation transcript:

Wearable sensors: MJFF's wearable sensor platform to quantify PD in clinical trials and across patient populations Ken Kubota Director of Data Science at the Michael J Fox Foundation Shahar Shpigelman Intel Big Data Analytics

MJFF is the world’s largest nonprofit funder of pd research Our Mission To accelerate the development of improved therapies, and ultimately a cure, for people living with Parkinson’s disease today. $500 million in research funded to date $70 million in research grants funded in 2014 1,500 projects funded to date 500 active grants in current portfolio 30% of funded project are outside of the U.S. Fund academics, biotechs and pharma

The paucity of “real” clinical measures, cost of trials and the ability to scale. Need for more sensitive diverse measures Detect natural progression <1yr Continuous measures in the real world AVERAGE TRIAL SIZE < 100 PATIENTS COST OF TRIALS are in the scales of $M VERY SMALL number of patients contribute to research

History Big data analytics IOT

important nexus in technology “Biosensing wearable products being developed today could not have existed just 4 years ago” Bluetooth Low Energy radio, iPhone 4s was the 1st to implement Wireless Qi charging coil standard MEMS accelerometers price drops 5x

Program to Implement Wearable Sensor Technologies for PD Aims: Speed trials while reducing cost Identify new phenotypes of Parkinson’s disease Improve the quality of care of Parkinson’s disease patients

The System MANAGE THE DISEASE USING DATA Clinically Meaningful Data RESEARCHER MANAGE THE DISEASE USING DATA Data for Analysis Analytics BIG DATA CLOUD Patient and CLINICIAN Clinically Meaningful Data INSIGHT / VALUE

Our data infrastructure Historical trials Historical trials Patient stratification (unsupervised analysis) Disease progression models (machine learning) Report sharing Curation ETL tool Patient de-identification Time series data model Either use real demo or show the next 2 slides Initial phase of portal

Key learning

Iterative Design and Discovery

Clinical Trials CLINICAL TRIALS Create and Validate DATA GATHERING TRIAL CLINICAL TRIALS L-DOPA RESPONSE TRIAL Create and Validate Algorithm & Measures SCRIPPS TREMOR TRIAL

Using Big data analytics Population Trials REAL PD POPULATION STUDY FOX INSIGHT WEAR Generate insights Using Big data analytics

The road ahead This Summer: Integration of mPower as our pilot iPhone offering This Winter: Integration of features across both Android and IOS as our cross platform offering

Call to action Let’s free the data Write broad consent forms that allow data to be shared openly Let the patient own the data Put research in the hands of the patient Come to us with your ideas and proposals

Q&A