Robotics & Machine Learning Daily News2024,Issue(Dec.19) :72-73.

Findings from McMaster University in Escherichia coli Reported (Bacteriophage-ac tivated Dnazyme Hydrogels Combined With Machine Learning Enable Point-of-use Col orimetric Detection of escherichia Coli)

Robotics & Machine Learning Daily News2024,Issue(Dec.19) :72-73.

Findings from McMaster University in Escherichia coli Reported (Bacteriophage-ac tivated Dnazyme Hydrogels Combined With Machine Learning Enable Point-of-use Col orimetric Detection of escherichia Coli)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Gram-Negative Bacteria - Escherichia coli. According tonews originating from Hamilton, Canad a, by NewsRx correspondents, research stated, “Developing cost-effective, consum er-accessible platforms for point-of-use environmental and clinical pathogen tes ting is apriority, to reduce reliance on laborious, time-consuming culturing ap proaches. Unfortunately, a systemoffering ultrasensitive detection capabilities in a form that requires little auxiliary equipment or training hasremained elu sive.”

Key words

Hamilton/Canada/North and Central Amer ica/Bacteriophages/Cyborgs/Emerging Technologies/Enterobacteriaceae/Escheri chia coli/Gram-Negative Bacteria/Health and Medicine/Machine Learning/Proteo bacteria/Viruses/McMaster University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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