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Predicting physiological aging rates from a range of quantitative traits using machine learning
It is widely thought that individuals age at different rates. A method that measures “physiological age” or physiological aging rate independent of chronological age could therefore help elucidate mechanisms of aging and inform an individual’s risk of morbidity and mortality. Here we present machine...
| Autores principales: | , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580337/ https://www.ncbi.nlm.nih.gov/pubmed/34718232 http://dx.doi.org/10.18632/aging.203660 |