From associations to clinical practice: translating inflammatory-nutritional indices into a machine learning-driven model for breast cancer risk stratification with cross-ethnic validation - Top-Institutions - MDSpire

From associations to clinical practice: translating inflammatory-nutritional indices into a machine learning-driven model for breast cancer risk stratification with cross-ethnic validation

  • By

  • Yue Li

  • Ting Ding

  • Xiaoyan Zhou

  • Chao Lu

  • Yue Zhang

  • Qian He

  • Jiangbo Ding

  • July 15, 2026

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Oncology
    • Breast Cancer

  • #2

    Fleury Group
    Fleury Group

    São Paulo, Brazil

    Key Differentiators

    • Clinical Laboratory

  • #3

    The Cancer Genome Atlas
    The Cancer Genome Atlas

    N/A, N/A

    Key Differentiators

    • Genomics
    • Cancer Research

  • #4

    Gene Expression Omnibus
    Gene Expression Omnibus

    N/A, N/A

    Key Differentiators

    • Genomics
    • Bioinformatics

  • #5

    Taichung Veterans General Hospital
    Taichung Veterans General Hospital

    Taichung, Taiwan

    Key Differentiators

    • Oncology
    • Veterans Health

Original Source(s)

From associations to clinical practice: translating inflammatory-nutritional indices into a machine learning-driven model for breast cancer risk stratification with cross-ethnic validation

  • by Yue Li, Ting Ding, Xiaoyan Zhou, Chao Lu, Yue Zhang, Qian He, Jiangbo Ding

  • July 15, 2026

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