L. Y. Qin
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View article: Novel High-Contrast Photoacoustic Imaging Method for Cancer Cell Monitoring Based on Dual-Wavelength Confocal Metalenses
Novel High-Contrast Photoacoustic Imaging Method for Cancer Cell Monitoring Based on Dual-Wavelength Confocal Metalenses Open
This study proposes a high-contrast photoacoustic (PA) imaging methodology based on a dual-wavelength confocal metalens, designed to monitor the dissemination of cancer cells and to inform subsequent cancer treatment strategies. The metale…
View article: <scp>KRT80</scp> in hepatocellular carcinoma plays oncogenic role via epithelial–mesenchymal transition and <scp>PI3K</scp>/<scp>AKT</scp> pathway
<span>KRT80</span> in hepatocellular carcinoma plays oncogenic role via epithelial–mesenchymal transition and <span>PI3K</span>/<span>AKT</span> pathway Open
Hepatocellular carcinoma (HCC), a globally prevalent form of cancer, is featured by aggressive growth and early metastasis. Elucidating the underlying mechanism and identifying the effective therapy are critical for advanced HCC patients. …
View article: High‐Accuracy Geological Deformation Monitoring Through Unmanned Aerial Vehicle Image Registration Without Control Points
High‐Accuracy Geological Deformation Monitoring Through Unmanned Aerial Vehicle Image Registration Without Control Points Open
Unmanned aerial vehicles (UAVs) have gained popularity in geological deformation monitoring due to their flexibility, cost‐effectiveness, and ease of image acquisition. However, accurate co‐registration of multi‐phase UAV images, essential…
View article: The role of short-chain fatty acid metabolism in the pathogenesis, diagnosis and treatment of cancer
The role of short-chain fatty acid metabolism in the pathogenesis, diagnosis and treatment of cancer Open
Short-chain fatty acids (SCFAs), which are saturated fatty acids consisting of six or fewer carbon atoms, have been found to be closely associated with the biological behavior of malignant tumors. This manuscript provides a comprehensive r…
View article: Identification of Fatty Acid Metabolism-Related Subtypes in Gastric Cancer Aided by Machine Learning
Identification of Fatty Acid Metabolism-Related Subtypes in Gastric Cancer Aided by Machine Learning Open
The study developed a machine learning-based gastric cancer prognosis risk model using FMGs. This model effectively stratifies patients according to their risk levels and provides valuable insights for clinical decision-making, enabling ac…