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Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models

Summary: Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbiased, and sensitive methods to assess mouse behavior. Here, we used the ML-based variational animal motion embedding (VAME) segmentation platform to assess spontaneous behavior in humanized App...

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Principais autores: Stephanie R. Miller, Kevin Luxem, Kelli Lauderdale, Pranav Nambiar, Patrick S. Honma, Katie K. Ly, Shreya Bangera, Mary Bullock, Jia Shin, Nick Kaliss, Yuechen Qiu, Catherine Cai, Kevin Shen, K. Dakota Mallen, Zhaoqi Yan, Andrew S. Mendiola, Takashi Saito, Takaomi C. Saido, Alexander R. Pico, Reuben Thomas, Erik D. Roberson, Katerina Akassoglou, Pavol Bauer, Stefan Remy, Jorge J. Palop
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-11-01
Serier:Cell Reports
Fag:
CP: Neuroscience
Online adgang:http://www.sciencedirect.com/science/article/pii/S221112472401221X
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