The Digital Physiome: Wearables for Disease Detection and Monitoring

April 14, 2025
12:00 pm to 1:00 pm

Event sponsored by:

Computational Biology and Bioinformatics (CBB)
Biomedical Engineering (BME)
Biostatistics and Bioinformatics
Center for Advanced Genomic Technologies
Computer Science
Department of Surgery
Duke Center for Genomic and Computational Biology (GCB)
School of Medicine (SOM)
University Program in Genetics & Genomics (UPGG)

Contact:

Franklin, Monica

Share

Pictured is Dr. Jessilyn Dunn, a woman with light skin, long brown hair, and black-framed glasses. She is smiling and wearing a navy blue blazer over a white blouse. The background features a computer screen displaying colorful graph lines and data charts.

Speaker:

Jessilyn Dunn, PhD
Digital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health and wearable technologies. Recent technological advancements make it possible to closely and continuously monitor individuals using multiple measurement modalities in real time. We are collecting and integrating such wearables data with clinical information to gain a more precise understanding of health and disease and develop actionable, predictive health models for improving cardiometabolic and infectious respiratory disease outcomes. We are simultaneously developing open source data science and machine learning tools for the digital health community, including the Digital Biomarker Discovery Pipeline (DBDP), to facilitate the use of mobile device data in healthcare.

CBB Monday Seminar Series