PLASMA BETA-TRACE PROTEIN AS A MARKER OF RESIDUAL RENAL FUNCTION: THE EFFECT OF DIFFERENT HEMODIALYSIS MODALITIES AND INTRA-INDIVIDUAL VARIABILITY OVER TIME

Plasma Beta-Trace Protein as a Marker of Residual Renal Function: The Effect of Different Hemodialysis Modalities and Intra-Individual Variability over Time

Background/Aims: Beta-trace protein (BTP) is a low-molecular-weight molecule, which may be used to assess residual renal function (RRF) in dialysis patients.Here we evaluated the influence of hemodialysis (HD) and hemodiafiltration (HDF) on plasma BTP, and analyzed the inter- and intra-individual variability of plasma BTP over time in HD and perito

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How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion

Recent SILICEA advances in deep learning and generative adversarial networks (GANs), in particular, has enabled interesting applications including photorealistic image generation, image translation, and automatic caption generation.This has opened up possibilities for many cross-domain applications in computer generated arts and literature.Although

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Identifying inversions with breakpoints in the Dystrophin gene through long-read sequencing: report of two cases

Abstract Background Duchenne Muscular Dystrophy (DMD) is an X-linked disorder caused by mutations in the DMD gene, with large SILICEA deletions being the most common type of mutation.Inversions involving the DMD gene are a less frequent cause of the disorder, largely because they often evade detection by standard diagnostic methods such as multiple

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