Antimicrobial resistance crisis: could artificial intelligence be the solution?

您当前的位置：

首页 >

文章列表页 >

Antimicrobial resistance crisis: could artificial intelligence be the solution?

REVIEW | 更新时间：2025-02-24

上一篇|下一篇

- Antimicrobial resistance crisis: could artificial intelligence be the solution?
- Antimicrobial resistance crisis: could artificial intelligence be the solution?
- “面对抗微生物耐药性对全球公共卫生的威胁，世界卫生组织（世界卫生组织）发布了一份需要开发新抗生素的病原体优先名单。然而，新抗生素的发现和引入既费时又昂贵。在此背景下，人工智能（AI）已迅速应用于药物开发，显著提高了发现新抗生素的效率。本文总结了抗菌药物开发和利用领域的最新进展，包括小分子、抗菌肽、噬菌体疗法、精油，以及耐药机制预测和抗生素管理。”
- Guang-Yu Liu ，Dan Yu ，Mei-Mei Fan ，Xu Zhang ，Ze-Yu Jin ，Christoph Tang ，Xiao-Fen Liu
- MMR 2025年12卷第1期页码：72-95
- 作者机构：
  1.Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, Key Laboratory of Aging and Cancer Biology of Zhejiang Province, Key Laboratory of Inflammation and Immunoregulation of Hangzhou, Hangzhou Normal University, Hangzhou 311121, China
  2.National Key Discipline of Pediatrics Key Laboratory of Major Diseases in Children Ministry of Education, Laboratory of Dermatology, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
  3.Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN 55905, USA
  4.Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
  5.Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
  6.Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK
  7.Institute of Antibiotics, Huashan Hospital, Fudan University, Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission of the People’s Republic of China, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
- 作者简介：
  *christoph.tang@path.ox.ac.uk;
  xiaofenliu@fudan.edu.cn
- 基金信息：
  the National Natural Science Foundation of China(32300157);the Shanghai Municipal Science and Technology Commission(19411964900);the Major Research and Development Project of Innovative Drugs, Ministry of Science and Technology of China(2017ZX09304005);the Wellcome Trust
- DOI： 10.1186/s40779-024-00510-1
  中图分类号：
- 稿件说明：
移动端阅览
DOI：
DOI：

AI导读
HTML全文
图( 5 ) 表( 2 )
参考文献
出版信息
数据统计

40

浏览量

25

下载量

0

CSCD

文章被引用时，请邮件提醒。

提交

工具集

BibTeX下载
Endnote下载
RefMan 下载
NoteExpress下载
NoteFirst下载

关联资源

相关文章

Artificial intelligence in orthopedics:fundamentals, current applications, and future perspectives

3D bioprinting of tissues and organs for systemic diseases and localized injuries

Non-invasive evaluation of muscle invasion and survival prognosis in bladder cancer using enhanced CT-based deep learning radiomics: a multi-center real-world cohort study

Enhanced CT-based deep learning radiomics for bladder cancer prognosis

Engineered exosomes for diabetic foot ulcers: lessons learned, challenges remain

相关作者

Jian Song

Guang-Chao Wang

Si-Cheng Wang

Chong-Ru He

Ying-Ze Zhang

Xiao Chen

Jia-Can Su

Ying-Ze Zhang

相关机构

Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Department of Orthopedics, Shanghai Zhongye Hospital

Department of Orthopedics, Orthopedic Research Institution of Hebei Province, NHC Key Laboratory of Intelligent Orthopedic Equipment, The Third Hospital of Hebei Medical University

Institute of Translational Medicine, Organoid Research Center, National Center for Translational Medicine (Shanghai), Shanghai University Branch

Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University