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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors.
Tomography
January 2025
Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Objectives: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. This study develops a fully automated AI model using vision transformers (ViTs) and convolutional neural networks (CNNs) to detect and segment kidneys and kidney tumors in Contrast-Enhanced (CECT) scans, with a focus on improving sensitivity for small, indistinct tumors.
Methods: The segmentation framework employs a ViT-based model for the kidney organ, followed by a 3D UNet model with enhanced connections and attention mechanisms for tumor detection and segmentation.
Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention.
Biomimetics (Basel)
January 2025
Faculty of Electrical, Information and Communication Engineering, Kanazawa University, Kanazawa 9201192, Japan.
Artificial intelligence, with its remarkable adaptability, has gradually integrated into daily life. The emergence of the self-attention mechanism has propelled the Transformer architecture into diverse fields, including a role as an efficient and precise diagnostic and predictive tool in medicine. To enhance accuracy, we propose the Double-Attention (DA) method, which improves the neural network's biomimetic performance of human attention.
View Article and Find Full Text PDFefficacy and safety of systemically administered serinol nucleic acid-modified antisense oligonucleotides in mouse kidney.
Mol Ther Nucleic Acids
March 2025
Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nucleic acid medicine encompassing antisense oligonucleotides (ASOs) has garnered interest as a potential avenue for next-generation therapeutics. However, their therapeutic application has been constrained by challenges such as instability, off-target effects, delivery issues, and immunogenic responses. Furthermore, their practical utility in treating kidney diseases remains unrealized.
View Article and Find Full Text PDFSoftware-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS library: Sishen formula as a case.
J Pharm Anal
October 2024
National Key Laboratory of Chinese Medicine Modernization, State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges. Conventional strategies always exhibit the insufficiencies in overall coverage, analytical efficiency, and degree of automation, and the results highly rely on the personal knowledge and experience. The goal of this work was to establish a software-aided approach, by integrating ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS) and in-house high-definition MS library, to enhance the identification of prototypes and metabolites of the compound formulae , taking Sishen formula (SSF) as a template.
View Article and Find Full Text PDF[Artificial light at night effects glucose metabolism in the developing jawbone by inhibiting melatonin secretion].
Zhonghua Kou Qiang Yi Xue Za Zhi
January 2025
Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology & School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology & Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan 430022, China.
To investigate the effects of artificial light at night on the growth of mandibles in mice and its regulatory mechanisms. A mouse model of artificial light at night (night light pollution group) and normal lighting (normal light group) was established by controlling light exposure time, with 4 mice in each group. Micro-CT was employed to analyze the differences in bone quantities of the mandibles between the two groups.
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