Your driver's license records one age. A machine learning model trained on more than 7,000 blood proteins can now estimate more than 40 others, one for each cell type it can detect, and they do not agree with each other or with the license.
That is the finding from a Stanford-led team whose work appeared in Nature Medicine on June 15. Drawing on plasma from 60,542 individuals across three cohorts, the researchers built separate biological-age estimates for cell types spanning neuronal, immune, glial, endocrine, epithelial, and musculoskeletal origins.
