New data published today suggest that several commonly used machine learning algorithms (MLAs) can effectively predict which hospitalized patients will become infected with Clostridiodes difficile (C.

A two-step approach for diagnosing C. difficile has been found to be both cost-effective and significantly more sensitive than other methods in use AbstractLewis, J. (2009) Exploring the accuracy and ...

The technology used by Facebook, Google and Amazon to turn spoken language into text, recognize faces and target advertising could help doctors combat one of the deadliest killers in American ...

Findings published in the American Journal of Infection Control could help reduce clinical and economic impact of common and serious HAIs Arlington, Va., January 20, 2022 – New data published today ...