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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20181221T160731Z
LOCATION:D175
DTSTART;TZID=America/Chicago:20181116T083000
DTEND;TZID=America/Chicago:20181116T083500
UID:submissions.supercomputing.org_SC18_sess171_wksp139@linklings.com
SUMMARY:Introduction - Computational Phenomics @Scale: From Supercomputers
  to Bedside
DESCRIPTION:Workshop\nData Analytics, Scientific Computing, Workshop Reg P
 ass\n\nIntroduction - Computational Phenomics @Scale: From Supercomputers 
 to Bedside\n\nTourassi, Kovatch, Summers\n\nOur workshop will bring togeth
 er various stakeholders from academia, medical centers, industry, federal 
 agencies, and national laboratories to present state-of-the-art phenotypic
  technologies and their computational and data challenges. We will engage 
 in discussions on the problems and solutions encountered in the translatio
 nal practice of deep phenotyping at the intersection of computational and 
 data science to support and improve healthcare delivery. The workshop will
  include presentations on large-scale phenotypic technologies such as natu
 ral language processing, multi-scale image analytics, etc. as well as the 
 emergence of advanced machine learning in this space. During the panel dis
 cussion, the panelists will address clinical practice challenges such as i
 ntegrative phenomic data analysis, the role of causal inference in genomic
 -phenomic associations, and the importance of reproducibility of phenotypi
 c discoveries.
URL:https://sc18.supercomputing.org/presentation/?id=wksp139&sess=sess171
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