Innovations in infectious disease testing: Leveraging COVID-19 pandemic technologies for the future

被引:13
|
作者
Tran, Nam K. [1 ,3 ]
Albahra, Samer [1 ]
Rashidi, Hooman [1 ]
May, Larissa [2 ]
机构
[1] UC Davis Sch Med, Dept Pathol & Lab Med, Davis, CA USA
[2] UC Davis Sch Med, Dept Emergency Med, Davis, CA USA
[3] Univ Calif Davis, Dept Pathol & Lab Med, 4400 5St, Sacramento, CA 95817 USA
关键词
Artificial intelligence; Direct to consumer; Machine learning; Mass spectrometry; Molecular diagnostics; Over the counter; Point -of -care testing; AMPLIFICATION; CHALLENGES; IONIZATION; BACTERIAL;
D O I
10.1016/j.clinbiochem.2021.12.011
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Innovations in infectious disease testing have improved our abilities to detect and understand the microbial world. The 2019 novel coronavirus infectious disease (COVID-19) pandemic introduced new innovations including non-prescription "over the counter" infectious disease tests, mass spectrometry-based detection of COVID-19 host response, and the implementation of artificial intelligence (AI) and machine learning (ML) to identify individuals infected by the severe acute respiratory syndrome -coronavirus - 2 (SARS-CoV-2). As the world recovers from the COVID-19 pandemic; these innovative solutions will give rise to a new era of infectious disease tests extending beyond the detection of SARS-CoV-2. To this end, the purpose of this review is to sum-marize current trends in infectious disease testing and discuss innovative applications specifically in the areas of POC testing, MS, molecular diagnostics, sample types, and AI/ML.
引用
收藏
页码:10 / 15
页数:6
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