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DTSTAMP:20211207T055342Z
LOCATION:230-231-232
DTSTART;TZID=America/Chicago:20211116T121500
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UID:submissions.supercomputing.org_SC21_sess396_bof154@linklings.com
SUMMARY:Impacting Cancer with HPC: Big Data, Bias and Digital Twins
DESCRIPTION:Birds of a Feather\n\nImpacting Cancer with HPC: Big Data, Bia
 s and Digital Twins\n\nStahlberg, Kovatch, Buchsbaum, Steinke\n\nHigh-perf
 ormance computing has long been employed in cancer research and clinical a
 pplications. Yet recently, with the convergence of AI, large-scale computi
 ng and tremendous data assets, the role of HPC in cancer is undergoing a r
 evolution. Borrowing from proven approaches in other HPC fields, the prosp
 ects for a personalized cancer patient digital twin, such as those compris
 ing multi-scale integrated biological models are taking off. With implicat
 ions for future clinical applications and research across the broader medi
 cal field, patient digital twins hold huge potential to be globally transf
 ormative to HPC and to medicine, as data and bias challenges are overcome.
 \n\nTag: Big Data, Computational Science\n\nRegistration Category: Tech Pr
 ogram Reg Pass, Exhibit Hall Only
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