Quantitative assessment of tumor-infiltrating lymphocytes using machine learning predicts survival in muscle-invasive bladder cancer

HIGHLIGHTS

• who: Qingyuan Zheng and colleagues from the Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China have published the research work: Quantitative Assessment of Tumor-Infiltrating Lymphocytes Using Machine Learning Predicts Survival in Muscle-Invasive Bladder Cancer, in the Journal: (JOURNAL) of 24/Nov/2022
• what: The authors aimed to evaluate the prognostic value of quantitative TILs score based on a machine learning (ML) algorithm to identify MIBC patients who might benefit from immunotherapy or the de-escalation of therapy. The aim of this work is not only to help pathologists more accurately assess . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.