首页|University of Catania Reports Findings in Klebsiella pneumoniae (Prediction of a ntimicrobial resistance of Klebsiella pneumoniae from genomic data through machi ne learning)
University of Catania Reports Findings in Klebsiella pneumoniae (Prediction of a ntimicrobial resistance of Klebsiella pneumoniae from genomic data through machi ne learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Gram-Negative Bacteria - Klebsiella pneumoniae is the subject of a report. According to news reporting from Catania, Italy, by NewsRx journalists, research stated, "Antimicrobials, s uch as antibiotics or antivirals are medications employed to prevent and treat i nfectious diseases in humans, animals, and plants. Antimicrobial Resistance occu rs when bacteria, viruses, and parasites no longer respond to these medicines." Financial support for this research came from MUR PNRR Extended Partnership Init iative on 558 Emerging Infectious Diseases. The news correspondents obtained a quote from the research from the University o f Catania, "This resistance renders antibiotics and other antimicrobial drugs in effective, making infections chAllenging or impossible to treat. This escalation in drug resistance heightens the risk of disease spread, severe illness, disabi lity, and mortality. With datasets now containing hundreds or even thousands of pathogen genomes, machine learning techniques are on the rise for predicting ant ibiotic resistance in pathogens, prediction based on gene content and genome com position."
CataniaItalyEuropeCyborgsEmergin g TechnologiesEnterobacteriaceaeGammaproteobacteriaGeneticsGram-Negative BacteriaGram-Negative Facultatively Anaerobic RodsKlebsiellaKlebsiella pn eumoniaeMachine LearningProteobacteriaRisk and Prevention
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