Deep learning for adaptive chemotherapy: A DDPG-based approach to optimizing tumor-immune dynamics

Wenlang Zhu, Mingliu Zhu, Weiye Wang, Liang Xu, Jie Wu, Weiping Li, Ruru Ma, Lingli Cao

Open source

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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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

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