Article

Tabular Foundation Model for Breast Cancer Prognosis using Gene Expression Data

2025-10-05

Abstract excerpt

Accurate and robust survival prediction is essential for personalised breast cancer prognosis and treatment decision-making. However, existing machine learning–based survival models often lack stability under cohort heterogeneity and distribution shift, while tabular foundation models typically do not support censored time-to-event data. This study aims to develop a foundation-model-based survival framework that e...

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Literature Corpus work: 4fefd37c-a2d1-57a2-8057-43f7770276cb
DOI: 10.1101/2025.10.03.25337265

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