Research advances and challenges in antimicrobial resistance surveillance technologies
10.3969/j.issn.1006-2483.2026.03.027
- VernacularTitle:抗生素耐药性监测技术的研究进展与挑战
- Author:
Feng LIU
1
;
Caixia DANG
1
;
Ziqian ZHAO
2
;
Yang WANG
2
;
Yuanyong XU
2
;
Hui CHEN
2
Author Information
1. Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing 100071, China;Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning 110000 , China
2. Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing 100071, China
- Publication Type:Journal Article
- Keywords:
Antimicrobial resistance;
Surveillance technology;
Early-warning system
- From:
Journal of Public Health and Preventive Medicine
2026;37(3):128-132
- CountryChina
- Language:Chinese
-
Abstract:
Antimicrobial resistance (AMR) poses a critical global health threat. This review systematically examines AMR surveillance technology advances, from conventional culture methods to modern molecular diagnostics (e.g., whole-genome sequencing) and artificial intelligence-assisted approaches. It focuses on the current application of mass spectrometry, machine learning predictive models, and real-time surveillance networks. To address challenges including inadequate technical standardization, clinical translation barriers, and data-sharing limitations, we propose integrated "genotype-phenotype" strategies and global standardization framework, while exploring future applications of CRISPR-based portable detection, single-cell sequencing, and blockchain technologies.
