Hepatobiliary cancers digital twins: Integrating artificial intelligence-driven multi-omics with organoid dynamics

Kun Liu, Fan Yang, Xuanying Lyu, Huisi He, Wen Wen

Open source

DOI: 10.1515/jtim-2026-0060
Published: 2026-10-01
Container: Journal of Translational Internal Medicine
Publisher: Walter de Gruyter GmbH
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1515/jtim-2026-0060,
  title = {Hepatobiliary cancers digital twins: Integrating artificial intelligence-driven multi-omics with organoid dynamics},
  author = {Kun Liu and Fan Yang and Xuanying Lyu and Huisi He and Wen Wen},
  year = {2026},
  journal = {Journal of Translational Internal Medicine},
  doi = {10.1515/jtim-2026-0060},
  url = {https://doi.org/10.1515/jtim-2026-0060}
}

RIS

TY  - JOUR
TI  - Hepatobiliary cancers digital twins: Integrating artificial intelligence-driven multi-omics with organoid dynamics
AU  - Kun Liu
AU  - Fan Yang
AU  - Xuanying Lyu
AU  - Huisi He
AU  - Wen Wen
PY  - 2026
JO  - Journal of Translational Internal Medicine
DO  - 10.1515/jtim-2026-0060
UR  - https://doi.org/10.1515/jtim-2026-0060
ER  -

APA

Liu, K., Yang, F., Lyu, X., He, H., & Wen, W. (2026). Hepatobiliary cancers digital twins: Integrating artificial intelligence-driven multi-omics with organoid dynamics. Journal of Translational Internal Medicine. https://doi.org/10.1515/jtim-2026-0060

Source records

crossref · retrieved 2026-11-04T07:24:06.671Z