Research progress on laboratory detection technologies for babesia
10.3760/cma.j.cn114452-20250207-00064
- VernacularTitle:巴贝虫实验室检测技术研究进展
- Author:
Ping GUO
1
;
Jianbiao WANG
1
Author Information
1. 上海交通大学医学院附属瑞金医院检验科，上海200025
- Publication Type:Journal Article
- Keywords:
Babesiosis;
Laboratory detection technique;
Artificial intelligence
- From:
Chinese Journal of Laboratory Medicine
2025;48(7):944-948
- CountryChina
- Language:Chinese
-
Abstract:
Babesia is a type of important blood parasitic pathogen that is transmitted between humans and animals. It has diverse transmission routes and poses a significant threat to human and animal health. The clinical manifestations of babesia infection are complex, and timely and accurate detection is of great significance for disease diagnosis, treatment, and prevention. Laboratory detection techniques for babesia include microscopic examination, artificial intelligence-based morphological detection methods, pathogen-based, immunological, and molecular diagnostic approaches. Although existing diagnostic techniques have their own characteristics, no single technique currently meets all clinical and public health requirements. Therefore, future detection technologies for babesia should focus on improving diagnostic accuracy, sensitivity, and specificity, exploring the feasibility of combined application of multiple detection techniques, and constructing a comprehensive diagnostic system to effectively address the challenges posed by babesiosis.
