An analysis on 1,194 patients with NSCLC was performed to evaluate the prognostic signatures of quantitative imaging features, extracted with deep learning. 27 In our work, we trained machine learning ...

PRISMA flow diagram for article selection; ... Predicting breast cancer recurrence using machine learning techniques: A systematic review. ACM Comput Surv 49:1-40, 2016. Crossref. Google Scholar. 12. ...

Yu, Y-P., et al. (2023) Fusion Gene Detection in Prostate Cancer Samples Enhances the Prediction of Prostate Cancer Clinical Outcomes from Radical Prostatectomy through Machine Learning in a Multi ...

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 ...

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 : ...

Study: Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.Image Credit: Komsan Loonprom/Shutterstock.com. Many cancer trial ...