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September 17, 2026Discover OncologyOpen Access

Machine learning reveals diverse cell death patterns in colorectal cancer prognosis and therapy

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Authors

YLYiyang LuHCHao ChenRMRuiyan Mei

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Cite This Study

Lu et al. (2026) studied this question.

synapsesocial.com/papers/6aabb8135f706d05830e7a25https://doi.org/10.1007/s12672-026-05929-7
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A machine-learning-derived multi-cell death mode signature predicts melanoma prognosis and reveals an immune-cold tumor microenvironment2026
  2. 2Integrated multi-omics and machine learning reveal an immunogenic cell death-related signature for prognostic stratification and therapeutic optimization in colorectal cancer2025 · 6 citations
  3. 3Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma2025 · 1 citations
  4. 4Machine learning–driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer2026
  5. 5Screening and Validation of Genes Associated With Lysosomal‐Dependent Cell Death in Colorectal Cancer2025