Researchers are exploring the use of machine learning to predict infections, including E. coli, in various patient groups, such as hospitalized patients and premature infants. The studies involve the development of analytical frameworks and models to enhance risk assessment and optimize treatment, including antimicrobial therapy. The applications of these models range from predicting infections in intensive care unit patients to identifying pathogens in urinary tract infections.