Research has been conducted on using machine learning with routine biomarkers to identify and predict various infections, including bacteremic urosepsis and urinary tract infections. The studies have explored the use of different biomarkers, such as procalcitonin and c-reactive protein levels, as well as digital flow morphology analysis, to predict infection outcomes. The findings may have implications for the diagnosis and treatment of infections, although the specific applications and results of the research are not entirely clear.