iAge
Description
A deep-learning method that uses blood samples to identify people most at risk of age-related diseases by tracking inflammation patterns. Study found that the chemokine CXCL9 plays a major role in heart aging and inflammation, which can be improved by targeting CXCL9. iAge, in turn, uses data on blood immune biomarkers to predict chronological age.
Creator
Stanford University School of Medicine
Information
Pediatrics or Adult
Adult
Speciality
Cardiology
Modality
Blood Samples (Immunomes)
Training
1,001 individuals, aged 8-96 years
Github
https://github.com/clingsz/GAE
Publication
FDA