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PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence
Aging clocks that accurately predict human age based on various biodata types are among the most important recent advances in biogerontology. Since 2016 multiple deep learning solutions have been created to interpret facial photos, omics data, and clinical blood parameters in the context of aging. S...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Impact Journals
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7762465/ https://www.ncbi.nlm.nih.gov/pubmed/33303702 http://dx.doi.org/10.18632/aging.202344 |