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 ...

State-Funded Screening Initiative Highlights Growing Public Sector Support for Innovative Cancer Detection Tools GAITHERSBURG, Md., March 27, ...

What if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

Liver cancer is one of the most serious forms of cancer in the world. The most common type is called hepatocellular carcinoma ...

Researchers are testing whether natural language processing can detect hidden psychological distress in childhood cancer survivors by analyzing their own words during clinical interviews. The approach ...

An updated edition of the February 5, 2026, article. The global oncology market is entering a period of rapid evolution, fueled by rising cancer incidence, aging populations and continued scientific ...