Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy.
- DOI
- 10.1038/s41540-024-00415-8
- Published
- 2024 Aug 14
- Container
- NPJ systems biology and applications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41540-024-00415-8,
title = {Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy.},
author = {Butner JD and Dogra P and Chung C and Koay EJ and Welsh JW and Hong DS and Cristini V and Wang Z},
year = {2024},
journal = {NPJ systems biology and applications},
doi = {10.1038/s41540-024-00415-8},
url = {https://doi.org/10.1038/s41540-024-00415-8}
}RIS
TY - JOUR TI - Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy. AU - Butner JD AU - Dogra P AU - Chung C AU - Koay EJ AU - Welsh JW AU - Hong DS AU - Cristini V AU - Wang Z PY - 2024 JO - NPJ systems biology and applications DO - 10.1038/s41540-024-00415-8 UR - https://doi.org/10.1038/s41540-024-00415-8 ER -
APA
JD, B., P, D., C, C., EJ, K., JW, W., DS, H., V, C., & Z, W. (2024). Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy.. NPJ systems biology and applications. https://doi.org/10.1038/s41540-024-00415-8
Source records
- pubmed · retrieved 2026-09-26T08:14:20.731Z
- europe-pmc · retrieved 2026-09-26T08:14:20.748Z
- doaj · retrieved 2026-09-26T08:14:20.726Z