Artificial intelligence, a powerful tool to combat antimicrobial resistance: An update

Q3 Biochemistry, Genetics and Molecular Biology Journal of Advanced Biotechnology and Experimental Therapeutics Pub Date : 2023-01-01 DOI:10.5455/jabet.2023.d161
Rony Masud, Naeem Fahim, Md Rana, Md Islam, Md Rahman
{"title":"Artificial intelligence, a powerful tool to combat antimicrobial resistance: An update","authors":"Rony Masud, Naeem Fahim, Md Rana, Md Islam, Md Rahman","doi":"10.5455/jabet.2023.d161","DOIUrl":null,"url":null,"abstract":"Antimicrobial resistance (AMR), also known as antibiotic resistance, is a global health crisis. Many people die from diseases caused by multi-drug resistant pathogens (MDR). Artificial intelligence (AI) deals with applying theory and developing computer systems to conduct tasks usually requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages to solve problems. AI has been successfully used in various fields, from single-cell study to space science. There is huge potential for using AI in medical science, including fighting against MDR to combat AMR. In this review, we have highlighted some of AI’s successful uses and potentiality to combat AMR for the betterment of the human race, including the basic principles of AI, available AI resources, use and scope, advantages and limitations.","PeriodicalId":36275,"journal":{"name":"Journal of Advanced Biotechnology and Experimental Therapeutics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Biotechnology and Experimental Therapeutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/jabet.2023.d161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Antimicrobial resistance (AMR), also known as antibiotic resistance, is a global health crisis. Many people die from diseases caused by multi-drug resistant pathogens (MDR). Artificial intelligence (AI) deals with applying theory and developing computer systems to conduct tasks usually requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages to solve problems. AI has been successfully used in various fields, from single-cell study to space science. There is huge potential for using AI in medical science, including fighting against MDR to combat AMR. In this review, we have highlighted some of AI’s successful uses and potentiality to combat AMR for the betterment of the human race, including the basic principles of AI, available AI resources, use and scope, advantages and limitations.
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
人工智能,对抗抗菌素耐药性的有力工具:最新进展
抗菌素耐药性(AMR),又称抗生素耐药性,是一项全球卫生危机。许多人死于多重耐药病原体(MDR)引起的疾病。人工智能(AI)涉及应用理论和开发计算机系统来执行通常需要人类智能的任务,例如视觉感知、语音识别、决策和语言间翻译来解决问题。人工智能已经成功地应用于各个领域,从单细胞研究到空间科学。在医学科学中使用人工智能有巨大的潜力,包括对抗耐多药和抗菌素耐药性。在这篇综述中,我们强调了人工智能的一些成功应用和潜力,以对抗抗生素耐药性,以改善人类,包括人工智能的基本原则,可用的人工智能资源,使用和范围,优势和局限性。
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
Journal of Advanced Biotechnology and Experimental Therapeutics
Journal of Advanced Biotechnology and Experimental Therapeutics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
1.90
自引率
0.00%
发文量
41
审稿时长
8 weeks
期刊最新文献
Assessment of antiproliferative and toxic effects of a peptide from Momordica dioica using in vitro and in vivo studies Investigation of the relationship between matrix metalloproteinase-9 and tissue inhibitor of metalloproteinase with SARS CoV-2 infections Anti-inflammatory and anti-microbial activities of the phytochemicals isolated from various parts of broccoli wastes Epidemiological burden, risk factors, and recent therapeutic advances in chronic obstructive pulmonary disease The potentials of Pangi leaf extract for Aedes spp. mosquito control
×
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