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Prediction of chronological and biological age from laboratory data
Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have largely investigated one biomarker or population at a time, limiting a comprehensive view of biomarker variation and aging across different populations. Here we develop a supervised machine learning ap...
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| Pubblicato in: | Aging (Albany NY) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Impact Journals
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7244024/ https://ncbi.nlm.nih.gov/pubmed/32391803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/aging.102900 |
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