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- Current advances of murine models for food allergy69
This review focuses on IgE-mediated food allergy, compares the differential approaches in developing appropriate murine models for food allergy and details specific findings for three major food allergens, peanut, milk and shellfish.
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- Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring31
A hybrid intelligence (HI) approach that integrates the complementary strengths of NI and AI for organ segmentation in CT images and illustrate performance in the application of radiation therapy (RT) planning via multisite clinical evaluation is formulated.
- A review of recent advances in scanned topographic map processing31
The goal is to show the exist ideas in STM processing and provide some general knowledge on methods and patterns which are employed in those studies and new thoughts and ideas about STMprocessing are expected.
- Electrohydrodynamic Jet-Printed Ultrathin Polycaprolactone Scaffolds Mimicking Bruch’s Membrane for Retinal Pigment Epithelial Tissue Engineering25
It is suggested that the EHDJ printing can fabricate scaffolds that mimic Bruch’s membrane by promoting maturation of RPE cells to form a polarized and functional monolayered epithelium with potential as an in vitro model for studying retinal diseases and treatment methods.
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- A novel fast image segmentation algorithm for large topographic maps15
This work proposes a novel algorithm for segmenting large topographic maps based on the ideas of fuzzy theory, randomized sampling and multilevel image fusion, which provides a reliable image segmentation method for large topographical maps.
- SCTMS: Superpixel based color topographic map segmentation method12
A color topographic map segmentation method based on superpixel to overcome problems of misalignment in scanner and other disturbances like inappropriate preserving, false color, mixed color and color aliasing problems occur in the raster color maps.
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- Three-Dimensional Scaffolds for Intestinal Cell Culture: Fabrication, Utilization, and Prospects11
Four types of up-to-date 3D cell culture scaffolds fabricated by various materials and techniques are summarized for a better recapitulation of some essential physiological and functional characteristics of original intestines compared to conventional cell models.
- A contour-line color layer separation algorithm based on fuzzy clustering and region growing11
The spatial relationship and the fuzzy similarity of color features are used in SRGCL to overcome the inaccurate classification of ambiguous pixels, and the procedure focusing on single contour-line layer will improve the accuracy of contouring-line segmentation result ofSRGCL relative to general segmentation methods.
- Unveiling the Antiobesity Mechanism of Sweet Potato Extract by Microbiome, Transcriptome, and Metabolome Analyses in Mice10
Liver transcriptomic and metabolomic profiling revealed that SPE may exert antiobesity effects by modulating the bile-sphingolipid metabolism, which was closely correlated with the reshaped gut microbiomes and SCFAs.
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- Sweet potato extract alleviates high-fat-diet-induced obesity in C57BL/6J mice, but not by inhibiting pancreatic lipases10
6% SPE supplement significantly ameliorated HFD-induced obesity in mice, including body weight gain, fat accumulation, adipocyte enlargement, insulin resistance, and hepatic steatosis, indicating that SPE, as a dietary supplement, has the great potential for weight control and treating hepatic Steatosis.
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- Mollusk allergy: Not simply cross‐reactivity with crustacean allergens9
It is demonstrated for the first time that mollusk tropomyosin can independently elicit a strong primary Thelper Type 2 (Th2)mediated IgE response in a IPsensitized mouse model of food allergy, which was primarily due to tropomyOSin, without any prior sensitization to crustacean allergens.
- Superpixel-Based Shallow Convolutional Neural Network (SSCNN) for Scanned Topographic Map Segmentation8
A benchmark for STM segmentation based on superpixels and a shallow convolutional neural network (SCNN), termed SSCNN, is proposed, which has been proven to have strong ability in boundary adherence, with fewer over-segmentation issues.
- Color topographical map segmentation Algorithm based on linear element features8
A color map segmentation algorithm, which is used to segment color maps into different layers based on linear element features, is proposed in this paper and outperforms other segmentation approaches that regarding pixels as the elementary units.
- Exosomal CCT3 as a biomarker for diagnosis and immune therapy response in patients diagnosed with hepatocellular carcinoma7
Exosomal CCT3 is a biomarker for diagnosis and ICB therapy of HCC via MYC pathway activation and immune infiltration via MYC pathway activation and immune infiltration.
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- An Activated Dendritic-Cell-Related Gene Signature Indicative of Disease Prognosis and Chemotherapy and Immunotherapy Response in Colon Cancer Patients7
A activated dendritic cell-related gene signature (aDCRS) and an aDCRS-based nomogram will facilitate precise prognosis prediction and individualized therapeutic interventions, thus improving the survival outcomes of CC patients in the future.
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- Diffusion semantic segmentation model: A generative model for medical image segmentation based on joint distribution5
The mainstream semantic segmentation schemes in medical image segmentation are essentially discriminative paradigms based on conditional distributions, but the learned feature space exhibits inherent instability, which directly affects the precision of the model in delineating anatomical boundaries.
- Graphic-based character grouping in topographic maps5
This paper presents a novel character grouping method based on the graph model, where undirected graphs are used to describe different words, where the color and size of the characters are served as the properties of the nodes, while the distance and angle between the characters is served as a weights of the edges connecting pairs of characters.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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