From Quantified Self to Personalized Medicine HPC Wire (11/06/14) Tiffany Trader California Institute for Telecommunications and Information Technology (Calit2) founding director Larry Smarr recently discussed a potentially transformative approach to living things that could significantly impact health care and medicine during the University of Washington Computer Science and Engineering Distinguished Lecture series. Smarr hypothesized that sensor miniaturization could enable people to obtain reads-outs of their bodies in real time to help improve their well-being. He said such an approach would tap data related to nutrition, exercise, sleep, and stress. Smarr is a participant in a nine-month study undertaken by the Institute for Systems Biology concentrating on predictive, personalized, preventive, and participatory medicine. The data sets the wellness project will assess include self-tracking devices, medical history and lifestyle, food journals, bodily fluid testing, gut microbiome, and whole genome sequencing. As part of the initiative, Smarr is probing microbiome ecology variances across healthy and sick populations, and his team has already used 25 central processing unit (CPU) years on the San Diego Supercomputing Centers Gordon supercomputer and another 35,000 cores on Dells Sanger cluster. The researchers are seeking an additional 1 million or 2 million CPU hours to round out the experiment, and the project is set to transfer data from R Systems/Dell in Urbana Champaign, IL, to Calit2 on a dedicated 10 GB connection. youtube/watch?v=Da_BPAduPoY
Posted on: Mon, 10 Nov 2014 15:25:47 +0000
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