Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis - Top-Institutions - MDSpire

Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis

  • By

  • Zhiying Lin

  • Hanping Shi

  • Xiaohong Chen

  • Chunli Yang

  • February 24, 2026

  • 0 min

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Top Institutions in Emergency Medicine

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Critical Care Medicine
    • Immunology
    • Bioinformatics

  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Critical Care Medicine
    • Systems Biology
    • Computational Medicine

  • #3

    University of Pittsburgh Medical Center (UPMC)
    University of Pittsburgh Medical Center (UPMC)

    Pittsburgh, PA

    Key Differentiators

    • Critical Care Medicine
    • Immunometabolism
    • Genomics

  • #4

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Critical Care Medicine
    • Immunology
    • Biomedical Informatics

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Critical Care Medicine
    • Systems Immunology
    • Genomics

Original Source(s)

Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis

  • by Zhiying Lin, Hanping Shi, Xiaohong Chen, Chunli Yang

  • February 24, 2026

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