首页|Cornell University Reports Findings in Salmonella enterica (An exploration of de scriptive machine learning approaches for antimicrobial resistance: Multidrug re sistance patterns in Salmonella enterica)
Cornell University Reports Findings in Salmonella enterica (An exploration of de scriptive machine learning approaches for antimicrobial resistance: Multidrug re sistance patterns in Salmonella enterica)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Gram-Negative Bacteria - Salmonella enterica is the subject of areport. According to news reporting o riginating from Ithaca, New York, by NewsRx correspondents,research stated, “Sa lmonellosis is one of the most common foodborne diseases worldwide, with the ability to infect humans and animals. Antimicrobial resistance (AMR) and, particula rly, multidrug resistance(MDR) among Salmonella enterica poses a risk to human health.”
IthacaNew YorkUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesEnterobacteriaceaeFoodborn e Diseases and ConditionsGammaproteobacteriaGram-Negative BacteriaGram-Neg ative Facultatively Anaerobic RodsMachine Lear
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