Article

Integrating transcriptomics, single-cell omics, and deep learning-based histopathological features to identify OLFML3 as in bladder cancer

2025-07-02

Abstract excerpt

<title>Abstract</title> <p>Background Bladder cancer (BCa) has the highest recurrence rate among solid tumors (61% at 1-year). Suboptimal surveillance and heterogeneity-limited models hinder precision. This study integrates multi-omics data to reveal the critical role of OLFML3 in BCa recurrence. A deep learning-based predictive model using pathology features offers personalized monitoring for high-risk patients...

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Literature Corpus work: 8cd2c49d-3f76-5c6d-9564-9aed35c80c22
DOI: 10.21203/rs.3.rs-6522741/v1

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