通过生物传感器进行败血症诊断:工程平台,人工智能集成和临床翻译
Chaitali Singhal1, Sudarshana Chatterjee2, Shruti Gupta1
1Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Gurugram Expressway, Faridabad 121001, India.
ACS sensors
|February 16, 2026
概括
生物传感器提供实时败血症诊断,克服传统方法的挑战. 本综述详细介绍了生物传感器技术和人工智能的进步,以改善败血症检测和临床应用.
科学领域:
- 生物医学工程 生物医学工程
- 临床诊断 临床诊断 临床诊断
- 翻译医学是一种翻译医学.
背景情况:
- 由于异质性和缺乏生物标志物,败血症诊断是复杂的.
- 目前基于文化的方法很慢,缺乏实时功能.
- 生物传感器为快速,多重性败血症检测提供了一个有希望的替代方案.
研究的目的:
- 审查用于败血症诊断的生物传感器技术的最新进展.
- 探索人工智能在增强生物传感器性能方面的作用.
- 识别和解决阻碍临床部署的翻译瓶.
主要方法:
- 在基质工程,纳米材料放大和生物识别元素 (aptamers,AMPs,PNAs,XNAs,CRISPR) 中取得的进展的合成.
- 分析现实世界的案例研究,证明临床可行性.
- 对生物传感器信号解释与EHR驱动预测的人工智能模型的界定.
主要成果:
- 在生物传感器组件和放大策略方面取得了重大进展.
- 通过案例研究证明了临床可行性.
- 区分用于信号解释的AI和更广泛的预测框架.
结论:
- 由人工智能增强的生物传感器代表了败血症诊断中的范式转变.
- 解决转化差距 (绩效,监管,报销) 对于部署至关重要.
- 需要一种协作方法来加快生物传感器的整合到败血症护理中.
相关概念视频
01:17Microbial Biosensors
88
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
88
01:24Automated Microbial Diagnostics
77
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
77