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Predicting future amyloid biomarkers in dementia patients with machine learning to improve clinical trial patient selection

INTRODUCTION: In Alzheimer's disease, asymptomatic patients may have amyloid deposition, but predicting their progression rate remains a substantial challenge with implications for clinical trial enrollment. Here, we demonstrate an artificial intelligence approach to use baseline clinical infor...

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Detalles Bibliográficos
Autores principales:	Reith, Fabian H., Mormino, Elizabeth C., Zaharchuk, Greg
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515556/ https://www.ncbi.nlm.nih.gov/pubmed/34692985 http://dx.doi.org/10.1002/trc2.12212

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