Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Machine learning identifies candidates for drug repurposing in Alzheimer’s disease

Clinical trials of novel therapeutics for Alzheimer’s Disease (AD) have provided largely negative results, so far. Here, the authors present a machine learning framework that quantifies potential associations between the pathology of AD severity and gene-based molecular mechanisms to enable drug rep...

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Bibliographic Details
Main Authors: Steve Rodriguez, Clemens Hug, Petar Todorov, Nienke Moret, Sarah A. Boswell, Kyle Evans, George Zhou, Nathan T. Johnson, Bradley T. Hyman, Peter K. Sorger, Mark W. Albers, Artem Sokolov
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21330-0

Internet

https://doi.org/10.1038/s41467-021-21330-0

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