Development of a Computational Histology Artificial Intelligence-Powered Prognostic Biomarker in Colorectal Cancer in The Cancer Genome Atlas.

Chris Lieu¹, Vivek Nimgaonkar^2,3, Viswesh Krishna³, Trevor J Royce^3,4, Richard M Goldberg⁵

¹Department of Medical Oncology, University of Colorado, Aurora, CO, USA.

²Department of Medical Oncology, Johns Hopkins University, Baltimore, MD, USA.

³Valar Labs, Palo Alto, CA, USA.

⁴Department of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.

⁵West Virginia University Cancer Institute, Morgantown, WV, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Risk stratification in colorectal cancer (CRC) plays an important role in treatment decision-making. As such, prognostic biomarkers that can augment risk stratification have clinical value. Quantitative histologic features from routine hematoxylin and eosin (H&E)-stained whole slide images (WSIs) provide a novel avenue for biomarker discovery. In this study, we explored the potential f…

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