Findings from the new study—published today in Scientific Reports through an article titled “Objective risk stratification of prostate cancer using machine learning and radiomics applied to ...

Prediction of cancer recurrence based on Gleason score alone had 77.9% accuracy, ... 764 machine learning models trained using data from the UPMC cohort were applied to the Stanford/Wisconsin ...

Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...