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

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 ...

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 predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

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.

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

The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is complex. A patient may have multiple overlapping disease processes in the ...

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