Deep biomarkers of aging are population-dependent-Reference-Cited by-同舟云学术

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Deep biomarkers of aging are population-dependent

Published:2016-09-08 Issue:9 Volume:8 Page:2253-2255
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Cohen Alan A.¹,Morissette-Thomas Vincent¹,Ferrucci Luigi²,Fried Linda P.³

Affiliation:

1. Department of Family Medicine, University of Sherbrooke, Sherbrooke, QC J1H 5N4, Canada

2. The National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA

3. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT;Experimental Gerontology;2024-06

2. Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis;Aging;2023-06-20

3. Explainable machine learning framework to predict personalized physiological aging;Aging Cell;2023-06-10

4. Progress in biological age research;Frontiers in Public Health;2023-04-12

5. Biological Age Predictors: The Status Quo and Future Trends;International Journal of Molecular Sciences;2022-12-01

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