Decoding immunotherapy response through computational modeling
Abstract Immunotherapy has seen success in treating patients with cancer, but variable responses underscore the need for effective patient stratification and therapy planning. Computational tools integrating multi-omics, imaging and machine learning have advanced, yet reliable personalized predictio...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2026-04-01
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| Seria: | Nature Communications |
| Dostęp online: | https://doi.org/10.1038/s41467-026-71364-5 |
| Etykiety: |
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