Robotics & Machine Learning Daily News2024,Issue(Aug.9) :83-84.

Sichuan University Reports Findings in Machine Learning (A rapid approach with m achine learning for quantifying the relative burden of antimicrobial resistance in natural aquatic environments)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :83-84.

Sichuan University Reports Findings in Machine Learning (A rapid approach with m achine learning for quantifying the relative burden of antimicrobial resistance in natural aquatic environments)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Themassive use and d ischarge of antibiotics have led to increasing concerns about antimicrobial resi stance(AMR) in natural aquatic environments. Since the dose-response mechanisms of pathogens with AMR havenot yet been fully understood, and the antibiotic re sistance genes and bacteria-related data collection viafield sampling and labor atory testing is time-consuming and expensive, designing a rapid approach to quantify the burden of AMR in the natural aquatic environment has become a challeng e.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文