Oncolomics: Digital Twins and Digital Triplets in Cancer Care
Event Type
Workshop
Applications
Computational Science
Education and Training and Outreach
HPC Community Collaboration
HPC Training and Education
Machine Learning and Artificial Intelligence
Performance
Workforce
W
TimeSunday, 14 November 202110:45am - 11:15am CST
Location223
DescriptionTo address the complex challenges in cancer care we integrated two digital twins namely, (A) Digital twin of oncologists' mind, and (B) Digital twin of the patients' physical state. The oncologist's twin is realized through the semantic integration of (1) NCI Thesaurus (NCIt), (2) Gene Ontology (GO), and (3) Disease-Gene Network (DisGeNET). These knowledge bases are mostly curated for researchers by expert researchers from hundreds of person-years of specialized knowledge. We earlier constructed the Diseasomics knowledge graph that combined Disease Ontology (DO), DisGeNET, SNOMED CT, PharmGKB, and disease Symptoms association network constructed through NLP, and other AI techniques from PubMed, Wikipedia, and curated knowledge for universal healthcare. In Oncolomics we used the digital triplet to discover missing links (link prediction) or the unknown knowledge in NCIt and enhance the accuracy of the knowledge graph.
