Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics
- DOI
- 10.1371/journal.pone.0345877
- Published
- 2026-04-08
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0345877,
title = {Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics},
author = {Wenlang Zhu and Mingliu Zhu and Weiye Wang and Liang Xu and Jie Wu and Weiping Li and Ruru Ma and Lingli Cao},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0345877},
url = {https://doi.org/10.1371/journal.pone.0345877}
}RIS
TY - JOUR TI - Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics AU - Wenlang Zhu AU - Mingliu Zhu AU - Weiye Wang AU - Liang Xu AU - Jie Wu AU - Weiping Li AU - Ruru Ma AU - Lingli Cao PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0345877 UR - https://doi.org/10.1371/journal.pone.0345877 ER -
APA
Zhu, W., Zhu, M., Wang, W., Xu, L., Wu, J., Li, W., Ma, R., & Cao, L. (2026). Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics. PLOS One. https://doi.org/10.1371/journal.pone.0345877
Source records
- crossref · retrieved 2026-09-25T00:10:09.337Z