A closed-loop paradigm for precision oncology: Integrating dynamic monitoring, organoid models, and explainable AI.
- DOI
- 10.1016/j.phrs.2026.108438
- Published
- 2026 Oct
- Container
- Pharmacological research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.phrs.2026.108438,
title = {A closed-loop paradigm for precision oncology: Integrating dynamic monitoring, organoid models, and explainable AI.},
author = {Liu Y and Wang Y and Huang X and Li Y and Zhu A and Wang M and Yao H and Liang LG},
year = {2026},
journal = {Pharmacological research},
doi = {10.1016/j.phrs.2026.108438},
url = {https://doi.org/10.1016/j.phrs.2026.108438}
}RIS
TY - JOUR TI - A closed-loop paradigm for precision oncology: Integrating dynamic monitoring, organoid models, and explainable AI. AU - Liu Y AU - Wang Y AU - Huang X AU - Li Y AU - Zhu A AU - Wang M AU - Yao H AU - Liang LG PY - 2026 JO - Pharmacological research DO - 10.1016/j.phrs.2026.108438 UR - https://doi.org/10.1016/j.phrs.2026.108438 ER -
APA
Y, L., Y, W., X, H., Y, L., A, Z., M, W., H, Y., & LG, L. (2026). A closed-loop paradigm for precision oncology: Integrating dynamic monitoring, organoid models, and explainable AI.. Pharmacological research. https://doi.org/10.1016/j.phrs.2026.108438
Source records
- pubmed · retrieved 2026-09-25T11:48:34.379Z