A biomedical open knowledge network harnesses the power of AI to understand deep human biology.
Document Type
Article
Publication Date
1-1-2022
Publication Title
AI Mag
Keywords
washington; isb; covid-19
Abstract
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting complexity of molecular and cellular pathways that govern human physiology and pathology. In this article we describe concrete uses of SPOKE, an open knowledge network that connects curated information from 37 specialized and human-curated databases into a single property graph, with 3 million nodes and 15 million edges to date. Applications discussed in this article include drug discovery, COVID-19 research and chronic disease diagnosis and management.
Department
Infectious Diseases
Department
Pathology & Laboratory Medicine
Recommended Citation
Baranzini, Sergio E; Börner, Katy; Morris, John; Nelson, Charlotte A; Soman, Karthik; Schleimer, Erica; Keiser, Michael; Musen, Mark; Pearce, Roger; Reza, Tahsin; Smith, Brett; Herr, Bruce W; Oskotsky, Boris; Rizk-Jackson, Angela; Rankin, Katherine P; Sanders, Stephan J; Bove, Riley; Rose, Peter W; Israni, Sharat; and Huang, Sui, "A biomedical open knowledge network harnesses the power of AI to understand deep human biology." (2022). Articles, Abstracts, and Reports. 6517.
https://digitalcommons.providence.org/publications/6517
