Deep learning transforms colorectal cancer biomarker prediction from histopathology images.

Journal: Cancer cell
Published Date:

Abstract

Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al. demonstrate superior accuracy of transformer-based deep learning in predicting biomarker status in CRC. The work has implications for increased efficiency and accuracy in clinical diagnostics guiding treatment decisions in precision oncology.

Authors

  • Pekka Ruusuvuori
    BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
  • Mira Valkonen
    BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
  • Leena Latonen
    BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.