Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice.
- DOI
- 10.3389/fnagi.2026.1924338
- Published
- 2026
- Container
- Frontiers in aging neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fnagi.2026.1924338,
title = {Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice.},
author = {Smeriglio E and Imbesi M and Xiao J and Smeriglio A and Trombetta D},
year = {2026},
journal = {Frontiers in aging neuroscience},
doi = {10.3389/fnagi.2026.1924338},
url = {https://doi.org/10.3389/fnagi.2026.1924338}
}RIS
TY - JOUR TI - Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice. AU - Smeriglio E AU - Imbesi M AU - Xiao J AU - Smeriglio A AU - Trombetta D PY - 2026 JO - Frontiers in aging neuroscience DO - 10.3389/fnagi.2026.1924338 UR - https://doi.org/10.3389/fnagi.2026.1924338 ER -
APA
E, S., M, I., J, X., A, S., & D, T. (2026). Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice.. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2026.1924338
Source records
- pubmed · retrieved 2026-09-27T13:18:05.037Z
- europe-pmc · retrieved 2026-09-27T13:18:05.056Z
- doaj · retrieved 2026-09-27T13:18:05.035Z