人工智能在人畜共患疾病管理中的创新应用

Wenqiang Guo , Chenrui Lv , Meng Guo , Qiwei Zhao , Xinyi Yin , Li Zhang
{"title":"人工智能在人畜共患疾病管理中的创新应用","authors":"Wenqiang Guo ,&nbsp;Chenrui Lv ,&nbsp;Meng Guo ,&nbsp;Qiwei Zhao ,&nbsp;Xinyi Yin ,&nbsp;Li Zhang","doi":"10.1016/j.soh.2023.100045","DOIUrl":null,"url":null,"abstract":"<div><p>Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global public health. In recent years, artificial intelligence (AI) has emerged as a transformative tool in the fight against diseases. This comprehensive review discusses the innovative applications of AI in the management of zoonotic diseases, including disease prediction, early diagnosis, drug development, and future prospects. AI-driven predictive models leverage extensive datasets to predict disease outbreaks and transmission patterns, thereby facilitating proactive public health responses. Early diagnosis benefits from AI-powered diagnostic tools that expedite pathogen identification and containment. Furthermore, AI technologies have accelerated drug discovery by identifying potential drug targets and optimizing candidate drugs. This review addresses these advancements, while also examining the promising future of AI in zoonotic disease control. We emphasize the pivotal role of AI in revolutionizing our approach to managing zoonotic diseases and highlight its potential to safeguard the health of both humans and animals on a global scale.</p></div>","PeriodicalId":101146,"journal":{"name":"Science in One Health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949704323000392/pdfft?md5=a6ce049e880eef70ef5879a8c2c9363e&pid=1-s2.0-S2949704323000392-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Innovative applications of artificial intelligence in zoonotic disease management\",\"authors\":\"Wenqiang Guo ,&nbsp;Chenrui Lv ,&nbsp;Meng Guo ,&nbsp;Qiwei Zhao ,&nbsp;Xinyi Yin ,&nbsp;Li Zhang\",\"doi\":\"10.1016/j.soh.2023.100045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global public health. In recent years, artificial intelligence (AI) has emerged as a transformative tool in the fight against diseases. This comprehensive review discusses the innovative applications of AI in the management of zoonotic diseases, including disease prediction, early diagnosis, drug development, and future prospects. AI-driven predictive models leverage extensive datasets to predict disease outbreaks and transmission patterns, thereby facilitating proactive public health responses. Early diagnosis benefits from AI-powered diagnostic tools that expedite pathogen identification and containment. Furthermore, AI technologies have accelerated drug discovery by identifying potential drug targets and optimizing candidate drugs. This review addresses these advancements, while also examining the promising future of AI in zoonotic disease control. We emphasize the pivotal role of AI in revolutionizing our approach to managing zoonotic diseases and highlight its potential to safeguard the health of both humans and animals on a global scale.</p></div>\",\"PeriodicalId\":101146,\"journal\":{\"name\":\"Science in One Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2949704323000392/pdfft?md5=a6ce049e880eef70ef5879a8c2c9363e&pid=1-s2.0-S2949704323000392-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science in One Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949704323000392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science in One Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949704323000392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人畜共患疾病在人与动物之间传播,对全球公共卫生构成重大威胁。近年来,人工智能(AI)已成为对抗疾病的变革性工具。本文综述了人工智能在人畜共患疾病管理中的创新应用,包括疾病预测、早期诊断、药物开发和未来展望。人工智能驱动的预测模型利用广泛的数据集来预测疾病暴发和传播模式,从而促进积极主动的公共卫生应对。早期诊断受益于人工智能驱动的诊断工具,可以加快病原体的识别和控制。此外,人工智能技术通过识别潜在的药物靶点和优化候选药物,加速了药物的发现。本文综述了这些进展,同时也探讨了人工智能在人畜共患疾病控制方面的前景。我们强调人工智能在彻底改变人畜共患疾病管理方法方面的关键作用,并强调其在全球范围内保障人类和动物健康的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Innovative applications of artificial intelligence in zoonotic disease management

Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global public health. In recent years, artificial intelligence (AI) has emerged as a transformative tool in the fight against diseases. This comprehensive review discusses the innovative applications of AI in the management of zoonotic diseases, including disease prediction, early diagnosis, drug development, and future prospects. AI-driven predictive models leverage extensive datasets to predict disease outbreaks and transmission patterns, thereby facilitating proactive public health responses. Early diagnosis benefits from AI-powered diagnostic tools that expedite pathogen identification and containment. Furthermore, AI technologies have accelerated drug discovery by identifying potential drug targets and optimizing candidate drugs. This review addresses these advancements, while also examining the promising future of AI in zoonotic disease control. We emphasize the pivotal role of AI in revolutionizing our approach to managing zoonotic diseases and highlight its potential to safeguard the health of both humans and animals on a global scale.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases Dietary exposure assessment of perchlorate and chlorate in infant formulas marketed in Shanghai, China Irrational use of colistin sulfate in poultry and domestic animals in Nepal-an emerging public health crisis How far has the globe gone in achieving One Health? Current evidence and policy implications based on global One Health index Microbiome One Health model for a healthy ecosystem
×
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