Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance.

Angela Cesaro, Samuel C Hoffman, Payel Das, Cesar de la Fuente-Nunez
{"title":"Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance.","authors":"Angela Cesaro, Samuel C Hoffman, Payel Das, Cesar de la Fuente-Nunez","doi":"10.1038/s44259-024-00068-x","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules. This review explores AI applications in diagnostics, therapy, and drug discovery, emphasizing both strengths and areas needing improvement.</p>","PeriodicalId":520007,"journal":{"name":"npj antimicrobials and resistance","volume":"3 1","pages":"2"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721440/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj antimicrobials and resistance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44259-024-00068-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules. This review explores AI applications in diagnostics, therapy, and drug discovery, emphasizing both strengths and areas needing improvement.

Abstract Image

Abstract Image

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
人工智能在传染病和抗菌素耐药性中的挑战和应用。
人工智能(AI)已经改变了传染病的控制,增强了快速诊断和抗生素的发现。虽然传统测试会延迟诊断,但机器学习和深度学习等人工智能驱动的方法有助于病原体检测、耐药性预测和药物发现。这些工具改善了抗生素的管理,并确定了有效的化合物,如抗菌肽和小分子。本文探讨了人工智能在诊断、治疗和药物发现方面的应用,强调了其优势和需要改进的领域。
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
自引率
0.00%
发文量
0
期刊最新文献
Bacterial cell fate under stress: lipid remodeling and antimicrobial peptide attack. Selection of porin and LPS mutants during infection by phage T4 facilitates the emergence of β-lactam resistance in Escherichia coli. Fate of the resistance profile of drinking water biofilm exposed to a sub-minimum inhibitory concentration of ciprofloxacin. Artificial intelligence for early detection and risk prediction of antimicrobial resistance in aquatic ecosystems. Development of the antimicrobial resistance burden score through a modified eDelphi.
×
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:604180095
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