| Literature DB >> 36093122 |
Sergio E Baranzini1,2, Katy Börner3, John Morris4, Charlotte A Nelson1, Karthik Soman1, Erica Schleimer1, Michael Keiser4,5, Mark Musen6, Roger Pearce7, Tahsin Reza7, Brett Smith8, Bruce W Herr3, Boris Oskotsky2, Angela Rizk-Jackson2, Katherine P Rankin1,2, Stephan J Sanders2,9, Riley Bove1,2, Peter W Rose10, Sharat Israni2, Sui Huang8.
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.Entities:
Keywords: Knowledge graph; biomedical databases; drug development; electronic health record
Year: 2022 PMID： 36093122 PMCID： PMC9456356 DOI： 10.1002/aaai.12037
Source DB: PubMed Journal: AI Mag ISSN： 0738-4602 Impact factor: 2.524