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DTSTAMP:20211207T055403Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211116T121500
DTEND;TZID=America/Chicago:20211116T131500
UID:submissions.supercomputing.org_SC21_sess409_bof169@linklings.com
SUMMARY:Data Commons and Data Ecosystems for Biomedical Data and the ML/AI
  Applications Over Them
DESCRIPTION:Birds of a Feather\n\nData Commons and Data Ecosystems for Bio
 medical Data and the ML/AI Applications Over Them\n\nGrossman, Malhotra\n\
 nThe biomedical research community is increasingly developing data commons
  and other cloud-based data platforms to manage, analyze and share their l
 arge biomedical datasets, particularly large genomics and imaging datasets
 . Some examples include the NCI Genomic Data Commons, the NCI Cancer Resea
 rch Data Commons, NHLBI BioData Catalyst, and NIBIB Medical Imaging and Da
 ta Resource Center (MIDRC).  In this BOF, we provide an update on these pl
 atforms and then invite the audience to participate in a roadmap for futur
 e developers, especially around cloud-based high-performance data stores i
 ntegrated with machine learning and AI capabilities.\n\nTag: Online Only, 
 Cloud and Distributed Computing, Data Analytics, Machine Learning and Arti
 ficial Intelligence\n\nRegistration Category: Tech Program Reg Pass, Exhib
 it Hall Only
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