Skip to main content
Kenneth Chen on Muck Rack

Kenneth Chen

As seen in: AWWA Opflow, Nature, Wiley Online Library, PLOS, BMJ Open, British Journal of Sports Medicine, Frontiers, MDPI, Taylor & Francis Online, Medscape and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Kenneth

Contact Kenneth, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Plasma proteomic signatures of cellular aging predict human disease

|
By Daisy Ding, Veronica Augustina Bot, Kenneth Chen, James Groves, Robert Palovics, Daisuke Masuda, Amelia Farinas, Hamilton OH, Viktoria Wagner, Nannan Lu, Carlos Cruchaga, Alina Isakova, Jonathan M Schott, Tony Wyss-Coray
| Nature Verified
Abstract Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses of over 7,000 plasma proteins measured in 60,542 individuals, we developed machine learning models to estimate the biological age of over 40 cell types spanning neuronal, immune, glial, endocrine, epithelial and musculoskeletal origins.
Open in Who Shared Issue with article?

April 16th, 2026 | Mini Crossword

|
By Kenneth Chen
| The Cornell Daily Sun Verified
Sign in with google to leave a comment of your own:
Open in Who Shared Issue with article?
|
By Kenneth Chen
| The Cornell Daily Sun Verified
Sign in with google to leave a comment of your own:
Open in Who Shared Issue with article?
See all 47 articles