首页|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)
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)
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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.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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