FEB 23, 2017 1:30 PM PST

Mining Dense, Dynamic Personal Data Clouds to Enhance Health

Speaker
  • Professor and Associate Director, Institute for Systems Biology
    Biography
      Dr. Price is Professor & Associate Director of the Institute for Systems Biology (ISB) in Seattle, WA. He is also Affiliate Faculty in the Departments of Bioengineering, Computer Science & Engineering, and Molecular & Cellular Biology at the University of Washington. He is Co-Founder and on the Board of Directors of Arivale ("Your Scientific Path to Wellness"), which was recently named as Geekwire's 2016 "Startup of the Year."
      Nathan has won numerous awards for his scientific work, including a Howard Temin Pathway to Independence Award from the National Institutes of Health, a National Science Foundation CAREER award, a young investigator award from the Roy J. Carver Charitable Trust, and he was named as one of the inaugural "Tomorrow's PIs" by Genome Technology and as a Camille Dreyfus Teacher-Scholar. Most recently, he received the 2016 Grace A. Goldsmith Award from the American College of Nutrition, given to a scientist under the age of 50 for significant achievements in the field of nutrition for his work in scientific wellness.
      Dr. Price has published over 100 peer-reviewed scientific publications and serves on editorial boards for many leading scientific journals including Science Translational Medicine and Cell Systems. Dr. Price served on the National Academy of Medicine committee to review omics-based tests to predict clinical outcome in clinical trials. Dr. Price also serves on scientific advisory boards for a number of companies and institutes including Habit (a personalized nutrition company), Trelys (a metabolic engineering company),Cleveland Clinic's Center for Functional Medicine, the Novo Nordisk Foundation Center for Biosustainability, the P4 Medicine Institute, the University of Washington's Public Health Genomics Institute, the UW Multidisciplinary Learning Disability Center, and the DOE ENIGMA program at UC Berkeley/LBNL/MIT. He is also a fellow of the European Society of Preventive Medicine.

    Abstract

    Healthcare is becoming more proactive and data-rich than anything before possible – and will increasingly focus on maintaining and enhancing wellness more than just reacting to disease. Lee Hood and I have recently launched a large-scale data-rich wellness project that integrates genomics, proteomics, metabolomics, microbiomes, clinical chemistries and wearable devices of the quantified self to monitor wellness and disease. The resulting dense, dynamic personal data clouds enable the creation of a field we term Scientific Wellness that aims to help individuals take informed actions to enhance their wellness and help reduce their risk for disease. Analyses of these data — individually and in aggregate — will enable us to identify scientifically-validated metrics for wellness, see early warning signs of disease, and develop approaches to reverse disease in its early stages (such as can currently be done for e.g. pre-diabetes). I will present results from our proof-of-concept pilot study in a set of 108 individuals (the Pioneer 100 study), showing how the interpretation of these data led to actionable findings for individuals to improve health and reduce risk drivers of disease — and well as give big picture views of how this endeavor relates to the future of health.


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