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August 19, 2025Scientific ReportsOpen Access

Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis

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Authors

SSShweta SinghAPAbhay Kumar PathakSKSukhad Kural

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Overview

Prospective cohort study shows miRNA biomarkers enhance diagnosis accuracy in prostate cancer, indicating potential over PSA tests.

Key Points

  • miRNA profiling improves diagnostic accuracy compared to PSA tests, with an accuracy of 77.42% achieved.
  • Machine learning model using miRNA expression ratios outperformed conventional methods, with AUC values up to 0.78.
  • The integration of miRNA biomarkers with machine learning suggests a promising approach for non-invasive diagnostics.
  • Further studies are needed to standardize protocols and validate findings in broader populations.

Cite This Study

Singh et al. (2025) studied this question.

synapsesocial.com/papers/68af35d5cf1dd9ea359e99f5https://doi.org/10.1038/s41598-025-99754-7
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