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 ...

PURPOSEPalliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help in predicting survival outcomes among patients with ...

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 ...

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 ...

To see if treating a patient according to OncoNPC predictions would increase their survival, the team retrospectively looked at 158 patients with CUP who received their first treatment at Dana-Farber.

This study aims to investigate the impact of tumor quadrant location on the 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models. By integrating ...

Network-based machine learning approach to predict immunotherapy response in cancer patients. Nature Communications , 2022; 13 (1) DOI: 10.1038/s41467-022-31535-6 Cite This Page : ...