A machine learning model based on pet/ct radiomics and clinical characteristics predicts tumor immune profiles in non-small cell lung cancer: a retrospective multicohort study

HIGHLIGHTS

  • who: Haipeng Tong from the Tianjin Medical University Institute and Hospital, China have published the article: A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study, in the Journal: (JOURNAL)
  • what: The authors aimed to establish, validate, and apply a machine_learning model to evaluate TIME profiles using Frontiers in Immunology | www.frontiersin.org
  • how: The results showed that CD8A was one of the immune score-related DEGs (Supplementary Figure S1). The authors chose CD8A and analyzed whether . . .

     

    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 ?