
When a nationwide blood-culture bottle shortage squeezed hospitals, a Stanford-led team turned to machine learning by building and openly sharing tools that predict which patients are most likely to have bacteremia and when a culture can be safely deferred. The simplest version works as a quick bedside score, no new software required.



















