|
|
|
|
LEADER |
01000caa a22002652c 4500 |
001 |
NLM34610095X |
003 |
DE-627 |
005 |
20250303195621.0 |
007 |
cr uuu---uuuuu |
008 |
231226s2022 xx |||||o 00| ||eng c |
024 |
7 |
|
|a 10.1002/aaai.12037
|2 doi
|
028 |
5 |
2 |
|a pubmed25n1153.xml
|
035 |
|
|
|a (DE-627)NLM34610095X
|
035 |
|
|
|a (NLM)36093122
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Baranzini, Sergio E
|e verfasserin
|4 aut
|
245 |
1 |
2 |
|a A biomedical open knowledge network harnesses the power of AI to understand deep human biology
|
264 |
|
1 |
|c 2022
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
500 |
|
|
|a Date Revised 02.04.2023
|
500 |
|
|
|a published: Print-Electronic
|
500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
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
|
773 |
0 |
8 |
|i Enthalten in
|t AI magazine
|d 1998
|g 43(2022), 1 vom: 16., Seite 46-58
|w (DE-627)NLM098176072
|x 0738-4602
|7 nnas
|
773 |
1 |
8 |
|g volume:43
|g year:2022
|g number:1
|g day:16
|g pages:46-58
|
856 |
4 |
0 |
|u http://dx.doi.org/10.1002/aaai.12037
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_NLM
|
912 |
|
|
|a GBV_ILN_350
|
951 |
|
|
|a AR
|
952 |
|
|
|d 43
|j 2022
|e 1
|b 16
|h 46-58
|