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The Pathologist / Issues / 2026 / June / Teaching AI to Read Liquid Biopsies
Bioinformatics Digital and computational pathology Infectious Disease Digital Pathology Liquid biopsy

Teaching AI to Read Liquid Biopsies

Researchers explore whether large language models can support cfRNA biomarker discovery

06/26/2026 News 2 min read
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3 Topic Commentaries

Teaching AI to Read Liquid Biopsies

Teaching AI to Read Liquid Biopsies

  • Rob Scharpf
    Rob Scharpf, Ph.D.

    Oncology

    •

    Johns Hopkins Kimmel Cancer Center

    DNA fragmentation patterns provide a remarkable fingerprint for early detection of cancer that we believe could be the basis of a widely available liquid biopsy test for patients with lung cancer,”

    Source
  • Daniel A. Heller
    Daniel A. Heller, PhD

    Cancer Nanomedicine

    •

    Memorial Sloan Kettering Cancer Center

    By using machine learning, we can distinguish the fingerprint of normal cells and different cancers,”

    Source
  • Xianghong Jasmine Zhou
    Xianghong Jasmine Zhou, PhD

    Pathology and Laboratory Medicine

    •

    University of California, Los Angeles (UCLA)

    This study demonstrates that blood-based methylation profiling can deliver clinically meaningful information across multiple diseases,”

    Source

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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