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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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Top Institutions in Oncology

Ranking is based on citation frequency across our internal corpus of peer-reviewed articles.

  • #1

    Johns Hopkins Kimmel Cancer Center

    Baltimore, MD

    Developed a machine learning model for cancer genetics and epigenetics. Recognized for its innovative research in oncology.

    Key Differentiators

    • Oncology
  • #2

    Johns Hopkins University School of Medicine

    Baltimore, MD

    Home to leading experts in oncology, contributing significantly to cancer research.

    Key Differentiators

    • Oncology
  • #3

    Johns Hopkins Molecular Tumor Board

    Baltimore, MD

    Facilitates clinical decision-making by predicting therapy effectiveness.

    Key Differentiators

    • Oncology
  • #4

    National Cancer Institute

    Bethesda, MD

    Developed an AI model for predicting drug responses based on tumor cell data.

    Key Differentiators

    • Oncology
  • #5

    The Cancer Genome Atlas

    Bethesda, MD

    Provides extensive pathology reports for cancer research and testing.

    Key Differentiators

    • Oncology

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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