New Method Aims to Improve Cancer Outcome Prediction Across Genetic Ancestry Continuum

Researchers propose a distribution-aware in-context learning approach for omics-based cancer outcome prediction, addressing limitations of models built on aggregated data without distinguishing ancestry groups.

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1. 2026-11-10 05:00 · arXiv stat.ML
   Beyond Discrete Ancestry Groups: Distribution-Aware In-Context Learning for Cancer Outcome Prediction Across the Genetic Ancestry Continuum