Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks

BACKGROUND AND OBJECTIVE: Blood-based biomarkers represent a promising approach to help identify early Alzheimer’s disease (AD). Previous research has applied traditional machine learning (ML) to analyze plasma omics data and search for potential biomarkers, but the most modern ML methods based on d...

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Detalles Bibliográficos
Autores principales: Zhang, Yuting, Ghose, Upamanyu, Buckley, Noel J., Engelborghs, Sebastiaan, Sleegers, Kristel, Frisoni, Giovanni B., Wallin, Anders, Lleó, Alberto, Popp, Julius, Martinez-Lage, Pablo, Legido-Quigley, Cristina, Barkhof, Frederik, Zetterberg, Henrik, Visser, Pieter Jelle, Bertram, Lars, Lovestone, Simon, Nevado-Holgado, Alejo J., Shi, Liu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746615/
https://www.ncbi.nlm.nih.gov/pubmed/36523958
http://dx.doi.org/10.3389/fnagi.2022.1040001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746615/
https://www.ncbi.nlm.nih.gov/pubmed/36523958
http://dx.doi.org/10.3389/fnagi.2022.1040001

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