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Can We Predict Bacteremia and Save Scarce Blood Culture Bottles? A Stanford Team Thinks So

October 27th 2025

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.

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
IDWeek 2025: Suitcase Lab Nails Nipah in 30 Minutes

October 27th 2025

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
APIC Roots, SHEA Leadership: Alexander Sundermann, DrPH, on Moving Health Care Epidemiology Forward

October 27th 2025

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
When a Hurricane Becomes an Antimicrobial Resistance Stewardship Catalyst

October 27th 2025

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The Curtain Call: Rethinking Cubicle Curtain Protocols in Infection Prevention

October 24th 2025

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Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
Can We Predict Bacteremia and Save Scarce Blood Culture Bottles? A Stanford Team Thinks So

October 27th 2025

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
IDWeek 2025: Suitcase Lab Nails Nipah in 30 Minutes

October 27th 2025

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
APIC Roots, SHEA Leadership: Alexander Sundermann, DrPH, on Moving Health Care Epidemiology Forward

October 27th 2025

Atlanta, Georgia, USA  (Adobe Stock by SeanPavonePhoto)
When a Hurricane Becomes an Antimicrobial Resistance Stewardship Catalyst

October 27th 2025

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