A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.

Hong Y, Hwang I, Kim MJ, Kim Y, Ahn S, Lee J, Kim KM

Open source

DOI
10.1038/s41416-026-03590-z
Published
2026 Aug 21
Container
British journal of cancer
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41416-026-03590-z,
  title = {A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.},
  author = {Hong Y and Hwang I and Kim MJ and Kim Y and Ahn S and Lee J and Kim KM},
  year = {2026},
  journal = {British journal of cancer},
  doi = {10.1038/s41416-026-03590-z},
  url = {https://doi.org/10.1038/s41416-026-03590-z}
}

RIS

TY  - JOUR
TI  - A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.
AU  - Hong Y
AU  - Hwang I
AU  - Kim MJ
AU  - Kim Y
AU  - Ahn S
AU  - Lee J
AU  - Kim KM
PY  - 2026
JO  - British journal of cancer
DO  - 10.1038/s41416-026-03590-z
UR  - https://doi.org/10.1038/s41416-026-03590-z
ER  - 

APA

Y, H., I, H., MJ, K., Y, K., S, A., J, L., & KM, K. (2026). A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.. British journal of cancer. https://doi.org/10.1038/s41416-026-03590-z

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