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Showing 1–2 of 2 results
Advanced filters: Author: Xiang-He Meng Clear advanced filters

  • Machine-assisted recognition of colorectal cancer has been mainly focused on supervised deep learning that suffers from a significant bottleneck of requiring massive amounts of labeled data. Here, the authors propose a semi-supervised model based on the mean teacher architecture that provides pathological predictions at both patch- and patient-levels.

    • Gang Yu
    • Kai Sun
    • Hong-Wen Deng
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • Gut microbiota has been reported to influence osteoporosis risk, but the individual species, and underlying mechanisms, remain largely unknown. Here, the authors identify Bacteroides vulgatus and serum valeric acid as potential targets for osteoporosis prevention/treatment.

    • Xu Lin
    • Hong-Mei Xiao
    • Hong-Wen Deng
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-17