Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma
Abstract Background The heterogeneous and aggressive nature of diffuse large B-cell lymphoma (DLBCL) presents significant treatment challenges as up to 50% of patients experience recurrence of disease after chemotherapy. Upfront detection of recurring patients could offer alternative treatments. Dee...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | BJC Reports |
| Online Access: | https://doi.org/10.1038/s44276-025-00147-0 |
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