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Showing 1–6 of 6 results
Advanced filters: Author: Deming Meng Clear advanced filters

  • Optical neural networks offer efficient AI computation but face precision limitations. Here, authors demonstrate a digital-analog hybrid matrix multiplication processor achieving 16-bit numerical precision and offering a potential solution to practical optical neural networks.

    • Xiansong Meng
    • Deming Kong
    • Hao Hu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • 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

  • Keri Monda, Kari North, Christopher Haiman and colleagues report a meta-analysis of GWAS for body mass index that is composed of 39,144 individuals of African ancestry, followed by further genotyping in 32,268 individuals of African ancestry. The study also includes analysis of publicly available data from the GIANT consortium of ~124,000 individuals of European ancestry. The paper reports evidence for two new loci near GALNT10 and MIR148A.

    • Keri L Monda
    • Gary K Chen
    • Christopher A Haiman
    Research
    Nature Genetics
    Volume: 45, P: 690-696