Gut Age Index

Biomarker

1 paper2 findings

  • In silico1

Associations

2

Disease status

mixedin silico1

1 study
  1. Gut Age Index predicts disease status in silico (58–72% balanced accuracy).

    “In the AGP cohort, the balanced accuracy of GAI ranged from 58 to 72% for 10 diseases.”

    In silicoAmerican Gut Project; 10 diseases

    Predicting host health status through an integrated machine learning framework: insights from healthy gut microbiome aging trajectory

    Scientific reports28 Dec 2024

Chronic disease status

mixedin silico1

1 study
  1. Gut Age Index predicts chronic disease status in silico (66–75% balanced accuracy).

    “the proposed GAI achieved a balanced accuracy, ranging from 66 to 75%, with the prediction performance for atherosclerosis being the highest.”

    In silicoGuangdong Gut Microbiome Project; 20 common chronic diseases

    Predicting host health status through an integrated machine learning framework: insights from healthy gut microbiome aging trajectory

    Scientific reports28 Dec 2024

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