Technology and innovation can also incorporate 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.
Dr. Jessilyn Dunn, Ph.D, Assistant Professor of Biomedical
Thursday, February 27, 2020 - 11:30 to 12:30
Duke Clinical and Translational Science Institute (CTSI)
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