Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer - Top-Institutions - MDSpire

Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer

  • By

  • Yingzheng Tan

  • Wenliang Tan

  • Yanchao Liang

  • Yunzhu Long

  • Shuanghua Chen

  • Qihao Hu

  • Yangjing Ou

  • Jingli Fu

  • Huan Chen

  • Fangyuan Ren

  • Jun Ye

  • Qing Zhou

  • Sheng Li

  • Xiaojin He

  • Qianqian Wang

  • Yueming Shen

  • Haiyuan Lu

  • Daichao Wu

  • Anbo Gao

  • Xun Chen

  • Yukun Li

  • December 30, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Cancer Metabolism
    • Tumor Microenvironment
    • Lung Cancer Research

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Cancer Metabolism
    • Immuno-Oncology
    • Computational Oncology

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Cancer Systems Biology
    • Metabolic Imaging
    • Machine Learning in Oncology

  • #4

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Cancer Metabolism
    • Lung Cancer
    • Translational Oncology

  • #5

    Broad Institute of MIT and Harvard
    Broad Institute of MIT and Harvard

    Cambridge, MA

    Key Differentiators

    • Genomics
    • Spatial Transcriptomics
    • Computational Biology

Original Source(s)

Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer

  • by Yingzheng Tan, Wenliang Tan, Yanchao Liang, Yunzhu Long, Shuanghua Chen, Qihao Hu, Yangjing Ou, Jingli Fu, Huan Chen, Fangyuan Ren, Jun Ye, Qing Zhou, Sheng Li, Xiaojin He, Qianqian Wang, Yueming Shen, Haiyuan Lu, Daichao Wu, Anbo Gao, Xun Chen, Yukun Li

  • December 30, 2025

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