Leveraging the Giant Leap (from Tens and Hundreds to Million+) Using the Cohort to Assess Efficacy Santosh Kumar Director, MD2K Center of Excellence Associate Professor, Computer Science University of Memphis MD2K is an NIH Big Data to Knowledge (BD2K) Center of Excellence. Visit www.md2k.org.
Mobile Measurement of Exposure, Risk, and Outcomes Habit Computing 2
Temporal Precision in Precision Medicine Measure Predict Adapt 3
Opportunity 1: Measurement • Data collection – Sensor & platform design – Sensor: Wearable, safe, reliable, robust, versatile – Platform: Sampling, software, comm., battery, storage • Interpretation – Trustable inference of events – Confounders – Variability (situational, personal) 4
Opportunity 2: Prediction of Adverse Events • Personalized – Must work for each person and each time 5
Opportunity 3: User Response & Engagement • Fidelity of Treatment – Adherence – Response • When to engage? – Is the user available? • How to engage? – Active vs. passive – Phone, watch, car 6
Using the Cohort to Assess & Improve Efficacy 7
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