Machine learning powered detection of biological toxins in association with confined lateral flow immunoassay (c-LFA)

Biological weapons, primarily dispersed as aerosols, can spread not only to the targeted area but also to adjacent regions following the movement of air driven by wind. Thus, there is a growing demand for toxin analysis because biological weapons are among the most influential and destructive. Speci...

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Veröffentlicht in:	Analyst (London) 2024-09, Vol.149 (18), p.472-4713
Hauptverfasser:	Choi, Seoyeon, Ha, Seongmin, Kim, Chanmi, Nie, Cheng, Jang, Ju-Hong, Jang, Jieun, Kwon, Do Hyung, Lee, Nam-Kyung, Lee, Jangwook, Jeong, Ju Hwan, Yang, Wonjun, Jung, Hyo-Il
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological & chemical weapons Biological weapons Demand analysis Immunoassay Machine learning Onsite Toxins
Online-Zugang:	Volltext
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