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 ...

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.

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...

Novel computational techniques have rapidly developed in the last decade. Software engineers and computer programmers are pushing the boundaries of what we can do using machine learning as an ...

Algorithms and open-source machine-learning tools are as good as, or even better than, human reviewers in detecting cancer cases using information from free-text pathology reports, according to a new ...

Add Yahoo as a preferred source to see more of our stories on Google. The Southwest Florida Proton Oncology Center gets Proteus One, a $20 million machine doctors say will change cancer treatment with ...

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 ...

As desperate cancer patients possibly die, others lie on hospital beds and at homes, following collapse of the cancer treatment machine at Kenyatta National Hospital, it has emerged that a new Sh218 ...