Developing a novel medulloblastoma diagnostic with miRNA biomarkers and machine learning.

Journal: Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
Published Date: Jun 30, 2025

Abstract

BACKGROUND: Medulloblastoma (MB) is the most common malignant brain tumor in children. Current diagnostic methods, such as MRI and lumbar puncture, are invasive and not sensitive enough, making early diagnosis challenging. MicroRNAs (miRNAs) have emerged as promising biomarkers for cancer diagnosis due to their dysregulated expression in tumors. This study aims to develop a novel machine learning (ML)-based diagnostic tool for MB using miRNA biomarkers.

Authors

  • Chloe Wang
    Mentor Assistance Program, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA.
  • Valentina L Kouznetsova
    San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA 92093, USA.
  • Santosh Kesari
    Pacific Neuroscience Institute, Santa Monica, CA 90404, USA.
  • Igor F Tsigelny
    San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA 92093, USA.

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