Prediction of the occurrence of calcium oxalate kidney stones based on clinical and gut microbiota characteristics - Top-Institutions - MDSpire

Prediction of the occurrence of calcium oxalate kidney stones based on clinical and gut microbiota characteristics

  • By

  • Liyuan Xiang

  • Xi Jin

  • Yu Liu

  • Yucheng Ma

  • Zhongyu Jian

  • Zhitao Wei

  • Hong Li

  • Yi Li

  • Kunjie Wang

  • August 24, 2021

  • 0 min

Share

Top Institutions in Urology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Nephrology
    • Urology
    • Microbiome Research
    • Bioinformatics

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Urology
    • Nephrology
    • Computational Biology

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Nephrology
    • Urology
    • Microbiome Science

  • #4

    Peking University First Hospital
    Peking University First Hospital

    Beijing, China

    Key Differentiators

    • Urology
    • Nephrology
    • Microbiome Research

  • #5

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Nephrology
    • Urology
    • Bioinformatics

Original Source(s)

Prediction of the occurrence of calcium oxalate kidney stones based on clinical and gut microbiota characteristics

  • by Liyuan Xiang, Xi Jin, Yu Liu, Yucheng Ma, Zhongyu Jian, Zhitao Wei, Hong Li, Yi Li, Kunjie Wang

  • August 24, 2021

Related Content

Bioinformatic strategies in metagenomics of chronic prostatitis

Renal Conditions Associated with Inflammatory Bowel Disease: Exploring Clinical Links, Shared Mechanisms, and Management Approaches

Faculty Publications June 13-20

This week’s edition of Faculty Publications includes Cedars-Sinai studies that were published June 13-20.

  • by

  • June 20, 2024

  • 15 min