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DTSTART;TZID=America/Chicago:20211114T104500
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UID:submissions.supercomputing.org_SC21_sess434_ws_cafcw103@linklings.com
SUMMARY:Oncolomics: Digital Twins and Digital Triplets in Cancer Care
DESCRIPTION:Workshop\n\nOncolomics: Digital Twins and Digital Triplets in 
 Cancer Care\n\nTalukder, Haas\n\nTo address the complex challenges in canc
 er care we integrated two digital twins namely, (A) Digital twin of oncolo
 gists' mind, and (B) Digital twin of the patients' physical state. The onc
 ologist's twin is realized through the semantic integration of (1) NCI The
 saurus (NCIt), (2) Gene Ontology (GO), and (3) Disease-Gene Network (DisGe
 NET). These knowledge bases are mostly curated for researchers by expert r
 esearchers from hundreds of person-years of specialized knowledge. We earl
 ier constructed the Diseasomics knowledge graph that combined Disease Onto
 logy (DO), DisGeNET, SNOMED CT, PharmGKB, and disease Symptoms association
  network constructed through NLP, and other AI techniques from PubMed, Wik
 ipedia, and curated knowledge for universal healthcare. In Oncolomics we u
 sed the digital triplet to discover missing links (link prediction) or the
  unknown knowledge in NCIt and enhance the accuracy of the knowledge graph
 .\n\nTag: Applications, Computational Science, Education and Training and 
 Outreach, HPC Community Collaboration, HPC Training and Education, Machine
  Learning and Artificial Intelligence, Performance, Workforce\n\nRegistrat
 ion Category: Workshop Reg Pass
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