An anticoagulant rivaroxaban may improve survival free of complications related to portal hypertension in patients with ...

Researchers included adult patients with cirrhosis who were receiving standard diuretic therapy (furosemide and ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly ...

Let’s Break It Down,” emphasize the urgent need to remove barriers to prevention, testing, and treatment to reduce liver cancer and eliminate hepatitis by 2030.

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

Fatty liver disease, now medically known as MASLD, is becoming more common, especially among people who are overweight, ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

One of the leading causes of cirrhosis is Hepatitis C, a viral infection that primarily spreads through contaminated blood.

Use of sodium-glucose cotransporter 2 inhibitors was linked to significantly reduced risk for serious liver events for ...