Identification of immunological features enables survival prediction of muscle-invasive bladder cancer patients using machine learning
C. G. Gavriel, N. Dimitriou, N. Brieu, I. P. Nearchou, O. Arandjelovic, G. Schmidt, D. J. Harrison, P. D. Caie
This study uses machine learning to predict 5-year survival in muscle-invasive bladder cancer patients by analyzing immunological features from tissue images, outperforming the current TNM staging system.
bioRxiv · Feb 24, 2020 · PreprintCancer Biology