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BMC Evol Biol 14:63 Mathieu C, Pappu RV, Taylor JP (2020) Beyond aggregation: pathological phase transitions in neurodegenerative disease

Figure 2 The RAU-Net is an extension of the arguably most popular deep learning architecture in medical imaging, the U-Net (Ronneberger et al., Specifically, the encoding and decoding paths consist of the same number of residual convolution blocks that utilize concatenation, attention mechanisms, and skip connections such that layers feed not only into the next layer but into the layer after the next layer

The parenchymal uptake of lymph-borne antibodies could be useful for delivering check-point inhibitors or tumor celldepleting antibodies to the tumor draining LNs

Goal: The aim of treatment is to maintain free carnitine (C0) levels in the blood

Huang Z, Wang H, Ji Z