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March 18, 2026Discover OncologyOpen Access

Examining the gene network and prognostic biomarkers in the onset of colorectal cancer in stool samples using machine learning

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Authors

RSReza Shaghaghi ShahrMMMohaddese Sadat MahmoudiNANasim Amirnia

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Overview

Examines prognostic biomarkers in colorectal cancer using machine learning on stool samples, suggesting novel insights into disease mechanisms.

Key Points

  • This study aims to explore gene networks and identify prognostic biomarkers in colorectal cancer using stool samples and machine learning techniques.
  • Analyze genomic and clinical data from colorectal cancer patients and healthy controls.
  • Employ various machine learning techniques, including deep learning and network analysis.
  • Examine patterns and relationships between genes, biomarkers, and clinical outcomes.
  • Identified novel biomarkers significantly associated with colorectal cancer onset.
  • Machine learning techniques showed promise in predicting patient outcomes.
  • The approach enhanced understanding of molecular mechanisms in colorectal cancer.

Cite This Study

Shahr et al. (2026) studied this question.

synapsesocial.com/papers/69ba431a4e9516ffd37a401chttps://doi.org/10.1007/s12672-026-04773-z
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