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Distinguishing Renal Cell Carcinoma From Normal Kidney Tissue Using Mass Spectrometry Imaging Combined With Machine Learning.

Vishnu ShankarKanchustambham VijayalakshmiRosalie NolleyGeoffrey A SonnChia-Sui KaoHongjuan ZhaoRu WenLivia S EberlinRobert TibshiraniRichard N ZareJames D Brooks
Published in: JCO precision oncology (2023)
Together, these results indicate that signatures derived from DESI-MSI combined with machine learning may be used to rapidly determine surgical margin status with accuracies that meet or exceed those reported for IFS.
Keyphrases
  • machine learning
  • renal cell carcinoma
  • mass spectrometry
  • high resolution
  • artificial intelligence
  • big data
  • liquid chromatography
  • deep learning
  • genome wide
  • capillary electrophoresis