Publications by authors named "Y Louise Wan"

RNA-binding proteins (RBPs) are multifunctional proteins essential for the regulation of RNA processing and metabolism, contributing to the maintenance of cell homeostasis by modulating the expression of target genes. Many RBPs have been associated with neuron-specific processes vital for neuronal development and survival. RBP dysfunction may result in aberrations in RNA processing, which subsequently initiate a cascade of effects.

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Background: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels.

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Background: Recently, the incidence of pancreatic cancer (PC) has gradually increased. Research has shown that UTX mutants are critical in tumors. However, the underlying mechanisms remain incompletely understood.

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Background: Acquired bronchobiliary fistula (BBF) is a rare but life-threatening complication that can occur as a result of oncological processes, inflammatory reactions, parasite infections, thoracoabdominal trauma, or invasive procedures associated with iatrogenic injury. However, the potential etiology of BBF caused by instrumental issues when using ultrasonic scalpels resulting in diathermy burn and its post-burn effects has never been reported.

Case Presentation: Herein, we present a case of a 65-year-old woman who developed BBF one month after hepatectomy and presented with refractory irritating cough accompanied by yellow bitter sputum.

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Article Synopsis
  • * Solid preparations, the primary form of TCM drugs, require complex manufacturing processes and strict quality control, leading enterprises to revamp their methods for better quality and efficiency.
  • * This paper reviews recent policies and studies on TCM manufacturing, discussing the challenges and trends in intelligent manufacturing, aiming to support future research and development in the field.
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