A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a ...

Researchers at Johns Hopkins Medicine have developed a new blood test that could help detect liver disease years before ...

The researchers sampled hospital data from more than 2,600 patients in the U.S. They used machine learning to analyze millions of data points and discover hidden patterns in common blood measurements, ...

A novel multi-omic blood test integrating biomarkers with machine learning identifies 61.5% of endometriosis cases previously ...

New research suggests that just 10 key blood markers could determine your biological age—offering a clearer picture of how ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...