Machine learning for population-level risk prediction of future cholangiocarcinoma.
- DOI
- 10.1016/j.ebiom.2026.106433
- Published
- 2026 Sep
- Container
- EBioMedicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ebiom.2026.106433,
title = {Machine learning for population-level risk prediction of future cholangiocarcinoma.},
author = {van Haag F and Clusmann J and Koop PH and Goodson R and Tryakin I and Wakabayashi SI and Seibel T and Jakhar N and Huang HYR and Zhang DY and Zandvakili I and Kimura T and Tamaki N and Krishnan A and Rodrigues PM and Banales JM and Gerussi A and Saborowski A and Rader D and Kather JN and Schneider KM and Schneider CV},
year = {2026},
journal = {EBioMedicine},
doi = {10.1016/j.ebiom.2026.106433},
url = {https://doi.org/10.1016/j.ebiom.2026.106433}
}RIS
TY - JOUR TI - Machine learning for population-level risk prediction of future cholangiocarcinoma. AU - van Haag F AU - Clusmann J AU - Koop PH AU - Goodson R AU - Tryakin I AU - Wakabayashi SI AU - Seibel T AU - Jakhar N AU - Huang HYR AU - Zhang DY AU - Zandvakili I AU - Kimura T AU - Tamaki N AU - Krishnan A AU - Rodrigues PM AU - Banales JM AU - Gerussi A AU - Saborowski A AU - Rader D AU - Kather JN AU - Schneider KM AU - Schneider CV PY - 2026 JO - EBioMedicine DO - 10.1016/j.ebiom.2026.106433 UR - https://doi.org/10.1016/j.ebiom.2026.106433 ER -
APA
F, V. H., J, C., PH, K., R, G., I, T., SI, W., T, S., N, J., HYR, H., DY, Z., I, Z., T, K., N, T., A, K., PM, R., JM, B., A, G., A, S., D, R., JN, K., KM, S., & CV, S. (2026). Machine learning for population-level risk prediction of future cholangiocarcinoma.. EBioMedicine. https://doi.org/10.1016/j.ebiom.2026.106433
Source records
- pubmed · retrieved 2026-09-26T08:13:08.693Z