Informatics Research Seminar: Validating Wearable Sensors for Digital Biomarker Discovery
February 12 @ 4:00 pm - 5:00 pm EST
Speaker: Brinnae Bent, MS, PhD student
Presented from Duke
Broadcast Link: Seminar
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.