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您的检索式：作者名="Yutong RAN"
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| 1 | Micropeptides: origins, identification, and potential role in metabolism-related diseases显示文摘With the development of modern sequencing techniques and bioinformatics, genomes that were once thought to be noncoding have been found to encode abundant functional micropeptides(miPs), a kind of small polypeptides. Although miPs are difficult to analyze and identify, a number of studies have begun to focus on them. More and more miPs have been revealed as essential for energy metabolism homeostasis, immune regulation, and tumor growth and development. Many reports have shown that miPs are especially essential for regulating glucose and lipid metabolism and regulating mitochondrial function.MiPs are also involved in the progression of related diseases. This paper reviews the sources and identification of miPs, as well as the functional significance of miPs for metabolism-related diseases, with the aim of revealing their potential clinical applications. | Yirui LU Yutong RAN Hong LI Jiao WEN Xiaodong CUI Xiaoyun ZHANG Xiumei GUAN Min CHENG | 2023 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2023，24，12： | 0 |
| 2 | Fast optical-writing recognition based on two-dimensional photothermoelectric effect assisted with deep learning显示文摘The photothermoelectric(PTE)effect enables a simple structure to construct a noncontact and self-powered writing device.PTE detectors based on active materials and one-dimensional(1D)position-sensitive PTE effect have attracted considerable attentions.However,there is no research on applying the 1D position-sensitive PTE effect to a two-dimensional(2D)surface.Besides,flexible writing devices based on the PTE effect have not been reported.Here,we demonstrate a self-powered flexible optical writing device based on the 2D position-sensitive PTE effect of SnSe thin film.Laser positioning,tracking,and distinguishing of optically written characters have been realized by only measuring the bi-directional output voltages during the writing process.A deep convolutional neural network has been introduced to recognize optically written numbers and characters with high recognition accuracy(92%)and fast processing speed(8.6 ms).The flexible optical-writing device with a simple structure could rapidly and accurately recognize characters in a noncontact fashion using a small amount of training data. | Yujia Zhong Haoyu Fang Yutong Ran Hongwei Zhu | 2023 | InfoMat2023，5，3： | 0 |
| 3 | A real-world study of immune checkpoint inhibitors in advanced triple-negative breast cancer显示文摘Background:Triple-negative breast cancer(TNBC)is the most aggressive type of breast cancer.Immune checkpoint inhibitors(ICIs)have been widely used to treat various tumors and have changed the landscape of tumor management,but the data from real-world studies of ICIs for TNBC treatment remain limited.The aim of this study was to evaluate the efficacy of ICIs in the treatment of patients with advanced TNBC in a real-world setting and to explore possible correlates.Methods:The clinical data of advanced TNBC patients who received ICI treatment in the Chinese People's Liberation Army(PLA)General Hospital were collected.Treatment responses,outcomes and adverse events(AEs)were assessed.Results:Eighty-one patients were included in the study.The confirmed objective response rate(ORR)was 32.1%,and the disease control rate(DCR)was 64.2%.The median progression-free survival(PFS)was 4.2 months,and the median overall survival(OS)was 11.0 months.PFS and OS were longer in patients who achieved clinical benefit from ICIs and shorter in patients who received later-line ICIs and higher levels of inflammation;specifically,patients with higher TILs had longer PFS.Overall AEs were tolerable.Conclusions:ICIs are effective in the treatment of advanced TNBC,and the adverse reactions are tolerable.A panel of biomarkers including LDH,ALP,and bNLR were identified to predict the efficacies of ICIs in TNBC treatment. | Zheng Zhang Yadi Zhang Chuanling Liu Jiakang Shao Yimeng Chen Yimin Zhu Li Zhang Boyu Qin Ziqing Kong Xixi Wang Yutong Wang Deqin Huang Liqun Liu Yuxin Zhou Ran Tao Zengjie Yang Mei Liu Weihong Zhao | 2023 | Cancer Innovation2023，2，3： | 0 |
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