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Synthesis of chiral gold helicoid nanoparticles using glutathione - Nature Protocols | Ki Tae Nam

Results Trained machine learning model is reliable for RBC morphology prediction The training accuracy of the deep machine learning model to the manually labeled database was monitored in real-time and found to remain relatively stable (over 80%) as the training process and iterations increased (Fig

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Size:907g (2lbs)

Furthermore, dysfunctional cholesterol metabolism, mediated by ApoE, particularly the ApoE4 variant, disrupts lipid homeostasis, leading to excessive LDs accumulation in microglia and astrocytes (Qi et al., 2021)