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 ...

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 ...

Epic has made changes to its sepsis prediction model in a bid to improve its accuracy and make its alerts more meaningful to clinicians. An Epic spokesperson told Becker’s in an emailed statement that ...

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 ...

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.

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 ...

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 ...

Sepsis is a life-threatening immune response to infection that leads to organ dysfunction, which is what happens in seriously ill COVID-19 patients, expert says. Seriously ill COVID-19 patients are ...

Credit: Getty Images Preventing sepsis after surgery should include screening before the surgery, close monitoring after surgery, and teaching patients how to recognize the signs of sepsis. Our ...