Gut Age Index
1 paper2 findings
- In silico1
Associations
2Disease status
mixedin silico1
1 study
Disease status
mixedin silico1
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
Scientific reports28 Dec 2024
Chronic disease status
mixedin silico1
1 study
Chronic disease status
mixedin silico1
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
Scientific reports28 Dec 2024
Latest
Scientific Reports
Predicting host health status through an integrated machine learning framework: insights from healthy gut microbiome aging trajectory
Computational studyBiomarkers