Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data collection ...

A retrospective case-control study found that an electronic health record based neonatal sepsis screening tool achieved 81 ...

For a patient with sepsis – which kills more Americans every year than AIDS and breast and prostate cancer combined – hours can make the difference between life and death. The quest for early ...

Please provide your email address to receive an email when new articles are posted on . An algorithm using artificial intelligence can foresee severe sepsis and septic shock in hospital patients, ...

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a new study.

Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S.

For a patient with sepsis—which kills more Americans every year than AIDS and breast and prostate cancer combined—hours can make the difference between life and death. The quest for early diagnosis of ...

WEDNESDAY, April 1, 2026 (HealthDay News) -- International guidelines are presented for the treatment of adults and children with sepsis and septic shock in two special articles from the Surviving ...