Using Mobile Sensors to Predict Opioid Use in Patients with Sickle Cell Disease

Evaluation of mobile sensing modalities to automatically detect opioid use and pain flares in a population of individuals experiencing chronic pain.

Grant/Award: NIH-5U54EB020404
IRB Protocol: IRB_00100060
Study PI: Dr. Patrick Finan, Johns Hopkins University

Institutions:

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STUDY PARTICIPATION

Participants

Person-days of Data

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About us

Advancing biomedical discovery and improving health through mobile sensor Big Data

The MD2K Team aims to lay the scientific foundations for turning the wealth of mobile sensor data available through new and rapidly evolving wearable sensors into reliable and actionable health information, and contribute to the vision of predictive, preventive, personalized, participatory, and precision (P5) medicine.

Copyright © 2022 MD2K. MD2K was established by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)