Biomedical and Health Data Sciences
Developing innovative data science, machine learning, and digital health modeling approaches to transform multi-scale biomedical data into actionable insights
New biomedical imaging and sensing technologies are generating data at an unprecedented pace. The increasing availability of electronic health records data has enabled data-driven inquiry into contemporary health care issues. Researchers in Duke BME are developing innovative data science, machine learning, and digital health modeling approaches to transform multi-scale biomedical data (e.g. multi-omics, imaging, wearable sensors, and electronic health records data) into actionable health insights.
There are extensive collaborations between our BME faculty and Duke University Medical Center clinicians to rapidly translate large-data analysis tools developed at Duke BME for both the patient bedside and broader commercialization.
This research community is supported and enhanced by numerous centers and programs, including:
Associated Faculty
Sina Farsiu, Ph.D.
Director of Master’s Studies, Anderson-Rupp Professor of BME
Dr Roarke Horstmeyer
Assistant Professor of Biomedical Engineering
Mark L. Palmeri
Professor of the Practice in the Department of Biomedical Engineering
Nimmi Ramanujam, Ph.D.
Robert W. Carr, Jr., Distinguished Professor of Biomedical Engineering
Amanda Randles
Alfred Winborne and Victoria Stover Mordecai Associate Professor of Biomedical Sciences
Other Research Specialties
Explore additional specialty research areas in Duke BME and throughout the Pratt School of Engineering.