Sergio E. Baranzini, Katy Börner, John Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer, Michael Keiser, Mark Musen, Roger Pearce, Tahsin Reza, Brett Smith, Bruce W. Herr II, Boris Oskotsky, Angela Rizk-Jackson, Katherine P. Rankin, Stephan J. Sanders, Riley Bove, Peter W. Rose, Sharat Israni, Sui Huang
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A biomedical open knowledge network harnesses the power of AI to understand deep human biology
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 Scalable PrecisiOn Medicine Knowledge Engine (SPOKE), an open knowledge network that connects curated information from thirty-seven 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.
期刊介绍：
AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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