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Integrating machine learning and genetic evidence to uncover novel gene biomarkers for colorectal cancer diagnosis

6 May 2025

Abstract excerpt

From 2020 to 2022, colorectal cancer (CRC) cases increased, making it the third most common cancer and the second leading cause of cancer-related deaths worldwide. Early detection remains a significant challenge due to the lack of reliable diagnostic biomarkers. This study aimed to develop a robust gene diagnostic model for CRC using publicly available databases, such as GEO and GEPIA2. The approach integrated...

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PMID: 40327251
DOI: 10.1007/s12672-025-02435-0

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