Sepsis kills nearly 270,000 Americans each year1. Mortality from sepsis increases by as much as 8% for every hour treatment is delayed2. Many hospitals deploy automated systems as part of a sepsis ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Cytovale(R) , a commercial-stage medical diagnostics company focused on advancing early detection technologies to diagnose fast-moving and immune-mediated diseases, today announced that it was ...

Study reveals how Cytovale's IntelliSep® sepsis test enables early sepsis risk stratification and more precise documentation, increasing SEP-1 compliance by 29% SAN FRANCISCO and SALT LAKE CITY, Sept.

In 2006, Cheryl Douglass, who had recently retired, returned home one afternoon and suddenly started feeling ill. It was as if she had the flu. She sat in an emergency department for hours waiting to ...

HM Machine Predicts Inpatient Sepsis 5 Hours Sooner Deep machine learning that looks at data points throughout the course of a patient's hospital stay outperforms existing predictors of sepsis, ...

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 study ...

SUDDEN confusion, racing heart rate, drowsiness, shortness of breath, mottled skin, and fever could be symptoms of sepsis, a life-threatening form of blood poisoning. Sepsis can arise from acute ...

Dealing with an infection isn't as straightforward as simply killing the pathogen. The body also needs to carefully steer and monitor its immune response to prevent collateral damage. This regulation, ...

Cytovale's IntelliSep® rapid sepsis test spotlighted for its innovative approach to sepsis care and demonstrated real-world impact in helping hospitals save lives SAN FRANCISCO and CHICAGO, Jan. 12, ...