Machine learning and data-driven inverse modeling of metabolomics unveil key processes of active aging
Abstract Physical inactivity and low fitness have become global health concerns. Metabolomics, as an integrative approach, may link fitness to molecular changes. In this study, we analyzed blood metabolomes from elderly individuals under different treatments. By defining two fitness groups and their...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-09-01
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| coleção: | npj Systems Biology and Applications |
| Acesso em linha: | https://doi.org/10.1038/s41540-025-00580-4 |
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