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Comment
. 2023 Sep 11;41(9):1543-1545.
doi: 10.1016/j.ccell.2023.08.006. Epub 2023 Aug 30.

Deep learning transforms colorectal cancer biomarker prediction from histopathology images

Pekka Ruusuvuori  1 , Mira Valkonen  2 , Leena Latonen  3
Affiliations
Free article
Comment

Deep learning transforms colorectal cancer biomarker prediction from histopathology images

Pekka Ruusuvuori et al. Cancer Cell. .
Free article

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.

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Conflict of interest statement

Declaration of interests P.R. and M.V. are founders and shareholders of Louhi Health Data.

Comment on

  • Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study.
    Wagner SJ, Reisenbüchler D, West NP, Niehues JM, Zhu J, Foersch S, Veldhuizen GP, Quirke P, Grabsch HI, van den Brandt PA, Hutchins GGA, Richman SD, Yuan T, Langer R, Jenniskens JCA, Offermans K, Mueller W, Gray R, Gruber SB, Greenson JK, Rennert G, Bonner JD, Schmolze D, Jonnagaddala J, Hawkins NJ, Ward RL, Morton D, Seymour M, Magill L, Nowak M, Hay J, Koelzer VH, Church DN; TransSCOT consortium; Matek C, Geppert C, Peng C, Zhi C, Ouyang X, James JA, Loughrey MB, Salto-Tellez M, Brenner H, Hoffmeister M, Truhn D, Schnabel JA, Boxberg M, Peng T, Kather JN. Wagner SJ, et al. Cancer Cell. 2023 Sep 11;41(9):1650-1661.e4. doi: 10.1016/j.ccell.2023.08.002. Epub 2023 Aug 30. Cancer Cell. 2023. PMID: 37652006 Free PMC article.

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