AIMC Topic: Oligodendroglia

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Deep learning-based predictive identification of neural stem cell differentiation.

Nature communications May 10, 2021
The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is...
Neural Networks, Computer Cells, Cultured Computer Simulation Animals Deep Learning Nanoparticles Rats Astrocytes Hormones Neurons Microscopy, Electron, Transmission Fluorescent Antibody Technique Neurogenesis Oligodendroglia Neural Stem Cells Nerve Growth Factors
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Deep learning for high-throughput quantification of oligodendrocyte ensheathment at single-cell resolution.

Communications biology Mar 26, 2019
High-throughput quantification of oligodendrocyte myelination is a challenge that, if addressed, would facilitate the development of therapeutics to promote myelin protection and repair. Here, we established a high-throughput method to assess oligode...
Brain Animals Deep Learning Single-Cell Analysis Rats Rats, Sprague-Dawley Cell Differentiation Data Accuracy Myelin Sheath Axons Nanofibers Oligodendrocyte Precursor Cells Oligodendroglia
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Identifying the Role of Oligodendrocyte Genes in the Diagnosis of Alzheimer's Disease through Machine Learning and Bioinformatics Analysis.

Current Alzheimer research Jan 1, 2024
BACKGROUND: Due to the heterogeneity of Alzheimer's disease (AD), the underlying pathogenic mechanisms have not been fully elucidated. Oligodendrocyte (OL) damage and myelin degeneration are prevalent features of AD pathology. When oligodendrocytes a...
Humans Machine Learning Biomarkers Computational Biology Alzheimer Disease Oligodendroglia
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