Monash University Reports Findings in Artificial Intelligence (Predicting Pseudo monas aeruginosa drug resistance using artificial intelligence and clinical MALD I-TOF mass spectra)

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外文摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews originating from Melbourne, Aust ralia, by NewsRx correspondents, research stated, “Matrix-assistedlaser desorpt ion/ionization-time of flight mass spectrometry (MALDI-TOF MS) is widely used in clinicalmicrobiology laboratories for bacterial identification but its use for detection of antimicrobial resistance(AMR) remains limited. Here, we used MALD I-TOF MS with artificial intelligence (AI) approaches tosuccessfully predict AM R in , a priority pathogen with complex AMR mechanisms.”

外文关键词：

MelbourneAustraliaAustralia and New ZealandAntibacterialsAntibioticsAntimicrobialsArtificial IntelligenceD rug ResistanceDrugs and TherapiesEmerging TechnologiesEngineeringGammapr oteobacteriaGram-Negative Aerobic BacteriaGram-Negative Aerobic Rods and Coc ciGram-Negative BacteriaHealth and MedicineMachine LearningProteobacteri aPseudomonadaceaePseudomonasPseudomonas aeruginosa

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Aug.23)