Publications by authors named "W Y Ling"

Aging is intricately linked to various diseases including cancers, neurodegenerative disorders, and metabolic irregularities. Copper (Cu) overexposure has been found to be linked to many diseases during aging, particularly neurodegenerative diseases. Meanwhile, as an essential element, Cu has been implicated in key processes associated with aging, raising questions about its role in age-related health issues.

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Background: The contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) classification offers a framework for risk stratification in evaluating liver lesions in patients at risk for hepatocellular carcinoma (HCC). However, its clinical utility in combined HCC-cholangiocarcinoma (cHCC-CCA) has been less extensively studied. The degree of tumor differentiation is clinically significant in determining prognosis, making the analysis of imaging features across different differentiation levels essential.

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Piezocatalytic therapy is an emerging therapeutic strategy for eradicating drug-resistant bacteria, but suffers from insufficient piezoelectricity and catalytic active site availability. Herein, Bi-vacancies (BiV) and corona polarization were introduced to BiOBr nanosheets to create a BiOBr-BiVP nanoplatform for piezocatalytic antibacterial therapy. This meticulously tailored strategy strengthens the built-in electric field of nanosheets, enhancing piezoelectric potential and charge density and boosting charge separation and migration efficiency.

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Copper is an essential trace element in biological systems, playing a key role in various physiological functions, including redox reactions and energy metabolism. However, an imbalance in copper homeostasis can induce oxidative stress, mitochondrial dysfunction, and inhibition of the ubiquitin-proteasome system, ultimately leading to significant cytotoxicity and cell death. According to recent research, copper can bind to lipoylation sites on proteins involved in the tricarboxylic acid cycle, causing aggregation of lipoylated proteins, the loss of Fe-S cluster proteins, proteotoxic stress, and ultimately, cell death.

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Background: Artificial intelligence chatbots are being increasingly used for medical inquiries, particularly in the field of ultrasound medicine. However, their performance varies and is influenced by factors such as language, question type, and topic.

Objective: This study aimed to evaluate the performance of ChatGPT and ERNIE Bot in answering ultrasound-related medical examination questions, providing insights for users and developers.

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