Business Wire

Dascena Announces Publication of Prospective Study Evaluating Effect of its Machine Learning Algorithm on Severe Sepsis Prediction

OAKLAND, Calif.--(BUSINESS WIRE)--Dascena, Inc., a machine learning diagnostic algorithm company that is targeting early disease intervention to improve patient care outcomes, announced today the ...
News Medical

Machine-learning algorithm may help identify hospitalized patients at risk for severe 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 ...
Medscape

Use of Granulocyte Colony-stimulating Factor in Patients with Severe Sepsis or Septic Shock

Purpose. The efficacy and safety of granulocyte colony-stimulating factor (G-CSF) in critically ill patients with severe sepsis or septic shock were evaluated. Summary. The medical literature was ...
EurekAlert!

Researchers create AI algorithm to improve timeliness, accuracy of sepsis predictions

HAMILTON, ON (November 25, 2021) – Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body’s extreme response to an infection and ...
News Medical

New AI predictive algorithm greatly improves timeliness and accuracy of sepsis predictions

Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body's extreme response to an infection and is often life-threatening. Since ...
Scientific American

Algorithm That Detects Sepsis Cut Deaths by Nearly 20 Percent

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.