Informatics Research Seminar: Validating Wearable Sensors for Digital Biomarker Discovery
April 8 @ 4:00 pm - 5:00 pm EDT
Speaker: Brinnae Bent, MS, PhD student
Presented from Duke
Broadcast Link: Seminar
Meeting number (access code): 479 794 409
Meeting password: t34mQwuTMk7
More ways to join
Join by phone
Tap to call in from a mobile device (attendees only)
1-650-479-3207 Call-in toll number (US/Canada)
Join from a video system or application
You can also dial 18.104.22.168 and enter your meeting number.
Join using Microsoft Lync or Microsoft Skype for Business
Digital biomarkers are digitally collected data that are transformed into indicators of health outcomes. As wearable technologies are being increasingly used for digital biomarker discovery, clinical research, and healthcare, it is critical to understand their accuracy and determine how measurement errors may affect research conclusions and impact healthcare decision-making. Accuracy of wearable technologies has been a hotly debated topic in both the research and popular science literature. This seminar will discuss the digital biomarker discovery process and our recent study on validating wearable sensors for clinical use.
Brinnae Bent is currently a 4th year PhD Candidate in the BIG IDEAS Lab under Dr. Jessilyn Dunn. Brinnae’s thesis work focuses on learning digital biomarkers from longitudinal wearable sensor data for chronic disease diagnosis and management. She is currently working on mining digital biomarkers for glycemic variability in prediabetic populations using a combination of machine learning and time series methods. To learn more about Brinnae’s work, please go to her website runsdata.org or follow her on Twitter @RunsData.