A biomedical open knowledge network harnesses the power of AI to understand deep human biology

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Ai Magazine Pub Date : 2022-03-31 DOI:10.1002/aaai.12037
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
{"title":"A biomedical open knowledge network harnesses the power of AI to understand deep human biology","authors":"Sergio E. Baranzini,&nbsp;Katy Börner,&nbsp;John Morris,&nbsp;Charlotte A. Nelson,&nbsp;Karthik Soman,&nbsp;Erica Schleimer,&nbsp;Michael Keiser,&nbsp;Mark Musen,&nbsp;Roger Pearce,&nbsp;Tahsin Reza,&nbsp;Brett Smith,&nbsp;Bruce W. Herr II,&nbsp;Boris Oskotsky,&nbsp;Angela Rizk-Jackson,&nbsp;Katherine P. Rankin,&nbsp;Stephan J. Sanders,&nbsp;Riley Bove,&nbsp;Peter W. Rose,&nbsp;Sharat Israni,&nbsp;Sui Huang","doi":"10.1002/aaai.12037","DOIUrl":null,"url":null,"abstract":"<p>Knowledge representation and reasoning (KR&amp;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.</p>","PeriodicalId":7854,"journal":{"name":"Ai Magazine","volume":"43 1","pages":"46-58"},"PeriodicalIF":2.5000,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9456356/pdf/nihms-1782687.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ai Magazine","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aaai.12037","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

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 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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
生物医学开放知识网络利用人工智能的力量来深入了解人类生物学
知识表示和推理(KR&R)已经成功地应用于许多领域,使计算机能够用人工智能方法解决复杂的问题。然而,它在生物医学上的应用一直滞后,部分原因是控制人类生理和病理的分子和细胞途径令人生畏的复杂性。在本文中,我们描述了可扩展精确医学知识引擎(SPOKE)的具体用途,SPOKE是一个开放的知识网络,将来自37个专业和人工管理数据库的管理信息连接到一个单一的属性图中,迄今为止有300万个节点和1500万条边。本文讨论的应用包括药物发现、COVID-19研究和慢性疾病诊断和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Ai Magazine
Ai Magazine 工程技术-计算机:人工智能
CiteScore
3.90
自引率
11.10%
发文量
61
审稿时长
>12 weeks
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.
期刊最新文献
Issue Information AI fairness in practice: Paradigm, challenges, and prospects Toward the confident deployment of real-world reinforcement learning agents Towards robust visual understanding: A paradigm shift in computer vision from recognition to reasoning Efficient and robust sequential decision making algorithms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1