Purdue professor, several international researchers develop algorithm to predict recurrence of prostate cancer.

Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another.

As the onset of cancer recurrence is not explicitly recorded in the electronic health record (EHR), a high volume of manual chart review is required to detect the cancer recurrence. This study aims to ...

Serum creatinine, age, previous vascular disease, smoking, and diabetes are important predictors for events, and this new model performed better than the Framingham and SCORE risk algorithms for ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges.

Colorectal cancer risk recurrence models that omit race/ethnicity may result in worse prediction accuracy for minority groups, potentially leading to inappropriate care.