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

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

Abstract 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...

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Bibliographic Details
Main Authors: Li Zhou, Lihua Yu, Mingjing Liao, Tingting Peng, Leilei Zhang, Chengyun Han, Yuan Li, Jiwang Zhang
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Oncology
Subjects:
Colorectal cancer
Diagnostic model
Machine learning
IFITM1
Mendelian randomization
Online Access:https://doi.org/10.1007/s12672-025-02435-0
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