Digital Biomarker Discovery Education
dbdpED is an educational platform for digital biomarker discovery. With tutorials, case studies, and educational videos, dbdpED provides a resource for learning the steps to using mHealth and wearables data to discover digital biomarkers. dbdpED is for all ages and abilities. We believe anyone can discover digital biomarkers!
We have many tutorials in the form of case studies available here at dbdpED. We have 3 levels of tutorials for beginner, intermediate, and advanced digital biomarker discoverers. We currently offer tutorials in both Python and R.
The Digital Biomarker Discovery blog publishes articles on the development of digital biomarkers using mHealth and wearables. Blogs consist of short articles, tutorials, overviews of DBDP tools, and digital biomarker discovery resources.
We have developed workshops on digital biomarker discovery for grades K-12. We want to inspire the next generation of digital biomarker discoverers. If you are a K-12 school interested in partnering with us, please get in touch!
Digital biomarkers are digitally collected data that are transformed into indicators of health outcomes. Digital biomarkers currently require extensive domain knowledge and computing skills. The purpose of the DBDP is to provide code sets, functions, and algorithms for the entire digital biomarker discovery pipeline to make discovering digital biomarkers more accessible. From the input of wearable sensor data to the development of machine learning and deep learning algorithms, we have provided an open source software resource for the digital biomarker community.
dbdpED was founded to expand the educational efforts of the DBDP and make digital biomarker discovery more inclusive.
The advent and ubiquity of smartwatches and activity trackers like Apple watches, Fitbits, and Whoop smart rings have transformed the way we measure physiological signals. These trackers have enabled us to define — and… Read More