Thursday, March 31, 2016
Oakridge health data science
Dr. Georgia Tourassi
Director of the Biomedical Sciences and Engineering Center
and the Health Data Sciences Institute
OAK RIDGE NATIONAL LABORATORY
Thursday, March 31, 2016
University Center/Raccoon Mountain Room
11:00 AM – 12:00 PM
The Quantified Human: A Data-driven Systems Approach To Understand, Predict and Improve Health Outcomes
Abstract: The mission of a National lab is to enable scientific innovations and transformative technical breakthroughs for grand challenges by leveraging unique resources and principles of trans-disciplinary collaboration. Oak Ridge National Laboratory (ORNL) is taking on the ‘Big Data to Knowledge’ challenge for health innovations via its Health Data Sciences Institute (HDSI). In this presentation I will describe HDSI’s vision and related activities to create the “quantified human”, a computational framework that supports a multi-scale systems approach to understand, predict, and improve health outcomes for individuals and populations. I will discuss the framework in the context of the National Cancer Surveillance program to improve cancer outcomes in the real world.
Short Bio: Dr. Georgia Tourassi is the Director of the Biomedical Science and Engineering Center and the Health Data Sciences Institute at the Oak Ridge National Laboratory (ORNL). She holds a B.S. in Physics from the University of Thessaloniki, Greece (1987) and a Ph.D. in Biomedical Engineering from Duke University (1993). She received the Young Investigator's Award from NIH (1994) and the Whitaker Foundation (1996). Before joining ORNL, Dr. Tourassi was Professor of Radiology and the Medical Physics Graduate Program at Duke University Medical Center, where she currently holds an Adjunct Professor position. Her research interests include biomedical informatics, medical imaging, and computer-aided decision support. Her medical imaging research has been featured in several publications including The Economist and recently won an R&D 100 award. Latest research work is focused on the use of cyber-informatics for cancer related epidemiological discovery. Her research has been funded by NIH; DOD; DOE; and the Komen and Whitaker Foundations. She has authored over 250 peer-reviewed journals, conference proceedings papers, and book chapters. She serves regularly on NIH grant review study sections (Charter member for BMIT 2007-2011 and BCHI 2014-now. She also serves on the FDA advisory committee on computer-aided diagnosis devices. She is a senior member of IEEE, INNS, and SPIE. In 2014 she won an R&D 100 Award and in 2015 she was elected Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and the American Association of Physicists in Medicine (AAPM).