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ID Week

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

October 27, 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.

IDWeek 2025: Suitcase Lab Nails Nipah in 30 Minutes

October 27, 2025

A Bangladesh research team unveiled a suitcase-sized, point-of-care test that detects Nipah virus from respiratory patients in about 30 minutes, showing accuracy comparable to RT-PCR, and designed to bring rapid diagnosis and outbreak control to rural, low-resource settings.

APIC Roots, SHEA Leadership: Alexander Sundermann, DrPH, on Moving Health Care Epidemiology Forward

October 27, 2025

From hand-hygiene audits to the SHEA Board of Trustees, the professional path of Alexander Sundermann, DrPH, CIC, FAPIC, AL-CIP, traces the arc of modern infection prevention. The former hospital IP—now a University of Pittsburgh assistant professor—pairs frontline experience with genomic epidemiology to turn sequencing into outbreak-stopping action.

When a Hurricane Becomes an Antimicrobial Resistance Stewardship Catalyst

October 27, 2025

When Hurricane Helene flooded a North Carolina facility and sparked an IV fluid shortage, Duke’s stewardship network turned crisis into practice change—rapidly shifting eligible patients to highly bioavailable oral antibiotics and boosting PO use by 5.6% across participating hospitals.

At IDWeek, Dr Tom Frieden Urges a Simple Formula to Tackle Outbreaks and Drug Resistance: “See. Believe. Create.”

October 23, 2025

At IDWeek in Atlanta, former CDC director Tom Frieden unveiled a crisp playbook for infection prevention—“See. Believe. Create.”—arguing it can help hospitals spot outbreaks sooner, reverse drug resistance, and drive HAIs toward zero. He paired the message with a 7-1-7 target: 7 days to find an outbreak, 1 to report, 7 to control.

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