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Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10 million every year by 2051. Stanford University scientists developed machine learning models that predict antibiotic susceptibility patterns (personalized antibiograms) using electronic health record data. Personalized empiric antibiotic subscription with personalized antibiograms…