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Digital Biomarker Discovery Resources
RunsData edited this page Apr 14, 2020
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The Digital Biomarker Discovery process can be challenging. We have compiled some resources that, along with the DBDP, can be used to make digital biomarker discovery more robust. Please open an Issue if you have an idea for additional resources that we could provide here!
- Paper on wearables and the medical revolution
- Paper on quantifying the use of connected digital products in clinical research
One of the most FAQ when starting digital biomarker development is how to choose a sensor/device. One of the major considerations should be evaluating how accurate the wearable sensor is.
- In this study, we evaluated 6 of the most commonly used wrist-worn devices for accuracy.
- Elektra Atlas: a searchable catalog of 750+ biosensors with clear comparison charts based on validation, usability, security, data rights and more.
- The DBDP provides some data handling in the Pre-processing Module. The DBDP is currently being integrated with MD2K and Open mHealth data handling schemas.
- MD2K Cerebral Cortex provides an interface to retrieve/store mobile sensor raw data and metadata.
- Open mHealth Shimmer retrieves mHealth data and metadata and converts it to JSON
- V3 Framework for Verification, Analytical Validation, and Clinical Validation
- Digital Medicine Society (DiMe)
- Digital Medicine Primer
- Digital Medicine Education Tutorials from Elektra Labs
- DiMe Library of Digital Endpoints