A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a requite multi-national cohort

HIGHLIGHTS

  • who: Francesca Ieva from the Brown University, United States have published the article: A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort, in the Journal: (JOURNAL)

SUMMARY

    With increased interest in this field and relevant data collection on this topic, predictive models have been developed to identify patients likely to develop side effects during radiotherapy. Despite the fact that prognosis is very good in terms of patients' survival rates, it is widely acknowledged that longterm side-effects after radiotherapy can affect . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?