Machine learning model aids early risk stratification for carbapenem-resistant Pseudomonas aeruginosa infection
New tool helps identify resistant bacteria early in hospital patients
This retrospective cohort study evaluated a clinico-laboratory machine-learning model based on routine complete blood count parameters in pa…
A new tool uses routine blood tests to predict dangerous antibiotic resistance in hospital patients before final lab results arrive.
Meta-analysis finds no mortality difference between CA and CT for drug-resistant P. aeruginosa infections
Which antibiotic works better for dangerous drug-resistant infections?
A meta-analysis of 10 observational studies including 1409 patients with drug-resistant P.
Two powerful new antibiotics show equal survival rates for patients fighting dangerous, drug-resistant infections.