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 go...

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Publié dans:AI magazine. - 1998. - 43(2022), 1 vom: 16., Seite 46-58
Auteur principal: Baranzini, Sergio E (Auteur)
Autres auteurs: Börner, Katy, Morris, John, Nelson, Charlotte A, Soman, Karthik, Schleimer, Erica, Keiser, Michael, Musen, Mark, Pearce, Roger, Reza, Tahsin, Smith, Brett, Herr, Bruce W 2nd, Oskotsky, Boris, Rizk-Jackson, Angela, Rankin, Katherine P, Sanders, Stephan J, Bove, Riley, Rose, Peter W, Israni, Sharat, Huang, Sui
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:AI magazine
Sujets:Journal Article Knowledge graph biomedical databases drug development electronic health record
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520 |a 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 
650 4 |a Journal Article 
650 4 |a Knowledge graph 
650 4 |a biomedical databases 
650 4 |a drug development 
650 4 |a electronic health record 
700 1 |a Börner, Katy  |e verfasserin  |4 aut 
700 1 |a Morris, John  |e verfasserin  |4 aut 
700 1 |a Nelson, Charlotte A  |e verfasserin  |4 aut 
700 1 |a Soman, Karthik  |e verfasserin  |4 aut 
700 1 |a Schleimer, Erica  |e verfasserin  |4 aut 
700 1 |a Keiser, Michael  |e verfasserin  |4 aut 
700 1 |a Musen, Mark  |e verfasserin  |4 aut 
700 1 |a Pearce, Roger  |e verfasserin  |4 aut 
700 1 |a Reza, Tahsin  |e verfasserin  |4 aut 
700 1 |a Smith, Brett  |e verfasserin  |4 aut 
700 1 |a Herr, Bruce W  |c 2nd  |e verfasserin  |4 aut 
700 1 |a Oskotsky, Boris  |e verfasserin  |4 aut 
700 1 |a Rizk-Jackson, Angela  |e verfasserin  |4 aut 
700 1 |a Rankin, Katherine P  |e verfasserin  |4 aut 
700 1 |a Sanders, Stephan J  |e verfasserin  |4 aut 
700 1 |a Bove, Riley  |e verfasserin  |4 aut 
700 1 |a Rose, Peter W  |e verfasserin  |4 aut 
700 1 |a Israni, Sharat  |e verfasserin  |4 aut 
700 1 |a Huang, Sui  |e verfasserin  |4 aut 
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773 1 8 |g volume:43  |g year:2022  |g number:1  |g day:16  |g pages:46-58 
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