Brain age prediction using deep learning uncovers associated sequence variants

Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference between an individual’s predicted and chronological age, predicted age difference (PAD), is a phenotype of relevance to aging and brain disease. Here, we present a new deep learning approach to predi...

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Detalles Bibliográficos
Autores principales: Jonsson, B. A., Bjornsdottir, G., Thorgeirsson, T. E., Ellingsen, L. M., Walters, G. Bragi, Gudbjartsson, D. F., Stefansson, H., Stefansson, K., Ulfarsson, M. O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881321/
https://www.ncbi.nlm.nih.gov/pubmed/31776335
http://dx.doi.org/10.1038/s41467-019-13163-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881321/
https://www.ncbi.nlm.nih.gov/pubmed/31776335
http://dx.doi.org/10.1038/s41467-019-13163-9

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