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 ...

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 ...

Scientists have found markers of cognitive decline in a diet and gut microbiome-linked blood test that may help spot dementia ...

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

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, ...

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.

Before the symptoms of cognitive loss are severe enough to be diagnosed, something in the blood seems to be changing. That is ...

Researchers at the University of East Anglia report that a routine blood test may detect early signs of dementia years before ...

Researchers at TU Delft and partner organizations have built graphene sensors small enough to detect the vibrations of a ...