Data Dialogue: Jessilyn Dunn, Duke BME
Sponsor(s): Information Initiative at Duke (iiD), +DataScience (+DS), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, SSRI Initiative on Qualitative Ethnographic and Mixed Methods (SIQEM), and Statistical Science
Precision Health Through Multi-scale and Multi-Modal Biomedical Data Integration
Recent technological advancements make it possible to closely and continuously monitor individuals on multiple scales in real time while also incorporating genetic, environmental, and lifestyle information. We are collecting and using this multi-scale biomedical data to gain a more precise understanding of health and disease at molecular and physiological levels and developing actionable, predictive health models for improving cardiometabolic outcomes. We are simultaneously developing tools for the digital health community, including the Digital Biomarker Discovery Pipeline (DBDP), to facilitate the use of mobile device data in healthcare.
Type: MEDICINE, HEALTH/WELLNESS, LECTURE/TALK, RESEARCH, and TECHNOLOGY
Contact: Ariel Dawn