AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.

Shao L, Ke X, Wang Y, Li R, Yu K, Wu J, Chen J, Hong R, Wang Z, Lu J, Zhang H, Sun J, Zhou Z, Jiang X, He L, Zhou H, Chen T, Liu Y, Tian J, Wu H, Liang Z

Open source

DOI
10.1038/s41746-026-02979-7
Published
2026 Jul 20
Container
NPJ digital medicine
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41746-026-02979-7,
  title = {AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.},
  author = {Shao L and Ke X and Wang Y and Li R and Yu K and Wu J and Chen J and Hong R and Wang Z and Lu J and Zhang H and Sun J and Zhou Z and Jiang X and He L and Zhou H and Chen T and Liu Y and Tian J and Wu H and Liang Z},
  year = {2026},
  journal = {NPJ digital medicine},
  doi = {10.1038/s41746-026-02979-7},
  url = {https://doi.org/10.1038/s41746-026-02979-7}
}

RIS

TY  - JOUR
TI  - AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.
AU  - Shao L
AU  - Ke X
AU  - Wang Y
AU  - Li R
AU  - Yu K
AU  - Wu J
AU  - Chen J
AU  - Hong R
AU  - Wang Z
AU  - Lu J
AU  - Zhang H
AU  - Sun J
AU  - Zhou Z
AU  - Jiang X
AU  - He L
AU  - Zhou H
AU  - Chen T
AU  - Liu Y
AU  - Tian J
AU  - Wu H
AU  - Liang Z
PY  - 2026
JO  - NPJ digital medicine
DO  - 10.1038/s41746-026-02979-7
UR  - https://doi.org/10.1038/s41746-026-02979-7
ER  - 

APA

L, S., X, K., Y, W., R, L., K, Y., J, W., J, C., R, H., Z, W., J, L., H, Z., J, S., Z, Z., X, J., L, H., H, Z., T, C., Y, L., J, T., H, W., & Z, L. (2026). AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02979-7

Source records