A nine-predictor machine-learning model using routine laboratory data identified more than half of large negative eGFR ...

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.

A machine learning model trained on ICU data from two databases predicts 28-day mortality in sepsis patients with diabetic ...

Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...

Finding practical ways to analyse the state of a person’s immune system could guide treatment decisions and create ...

Imagine finding out that the key to cutting magnetic resonance imaging (MRI) scan times by an astonishing 90% was hiding right inside an existing machine, just waiting for the right mind to unlock it.

Dexcom G7 15 Day arrives in Canada in November with longer sensor wear and expanded insurance coverage. Here's what users ...

The Scioto Foundation has awarded more than $202,000 in grants to 14 organizations serving Scioto County, supporting projects ...

Researchers have created a machine learning model that identifies patients with non-alcoholic fatty liver disease (NAFLD) at ...

PETKIT TRACE stands for "Trend Recognition and Actionable Care Engine." The name also refers to the traces pets leave behind in everyday routines. Built on the PETKIT ecosystem, the platform draws on ...

It is estimated that roughly 260,000 adoptions take place every year, some of which are open adoptions, meaning children ...