3篇
您的检索式：作者名="Yanpeng Chu"
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| 1 | Camptothecin@HMSNs/thermosensitive hydrogel composite for applications in preventing local breast cancer recurrence显示文摘Camptothecin has a strong tumor killing ability for a variety of tumor cells with its special anti-cancer mechanism including the breast cancer. However, because of its infinite hydrophobic property, its clinical application has been greatly limited. Early prevention of loco regional recurrence for the breast cancer is critical for patients who have undergone breast-conserving therapy. In the study,CPT was used for the inhibition of the recurrence after the operation. The hollow mesoporous silica nanoparticles were used as the carrier to improve the hydrophilic property and increase its bioavailability with the high loading capacity. The ability of the cellular uptake and antitumor activity was increased. Hydrogel was the ideal carrier for local therapy, so the CPT@HMSNs were loaded into the PLEL thermo sensitive hydrogel to be injected into the tumor sites after the tumor was resected. The recurrence was reduced in the group of CPT-HMSNs-PLEL and the side effect of CPT was decreased. They exhibit distinguished potential as drug carrier for local delivery. | Jing Wu Ying Qu Kun Shi Bingyang Chu Yanpeng Jia Xue Xiao Qianjun He Zhiyong Qian | 2018 | Chinese Chemical Letters2018，29，12： | 2 |
| 2 | AI based colorectal disease detection using real-time screening colonoscopy显示文摘Colonoscopy is an effective tool for early screening of colorectal diseases.However,the application of colonoscopy in distinguishing different intestinal diseases still faces great challenges of efficiency and accuracy.Here we constructed and evaluated a deep convolution neural network(CNN)model based on 117055 images from 16004 individuals,which achieved a high accuracy of 0.933 in the validation dataset in identifying patients with polyp,colitis,colorectal cancer(CRC)from normal.The proposed approach was further validated onmulti-center real-time colonoscopy videos and images,which achieved accurate diagnostic performance on detecting colorectal diseases with high accuracy and precision to generalize across external validation datasets.The diagnostic performance of the model was further compared to the skilled endoscopists and the novices.In addition,our model has potential in diagnosis of adenomatous polyp and hyperplastic polyp with an area under the receiver operating characteristic curve of 0.975.Our proposed CNN models have potential in assisting clinicians in making clinical decisions with efficiency during application. | Jiawei Jiang Qianrong Xie Zhuo Cheng Jianqiang Cai Tian Xia Hang Yang Bo Yang Hui Peng Xuesong Bai Mingque Yan Xue Li Jun Zhou Xuan Huang Liang Wang Haiyan Long Pingxi Wang Yanpeng Chu Fan-Wei Zeng Xiuqin Zhang Guangyu Wang Fanxin Zeng | 2021 | Precision Clinical Medicine2021，4，2： | 0 |
| 3 | Bioinspired Multifunctional Self-Sensing Actuated Gradient Hydrogel for Soft-Hard Robot Remote Interaction显示文摘The development of bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction with soft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensing actuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interaction with robotic hand. The gradient network structure, achieved through a wettability difference method involving the rapid precipitation of MoO_(2) nanosheets, introduces hydrophilic disparities between two sides within hydrogel. This distinctive approach bestows the hydrogel with ultrafast thermo-responsive actuation(21° s^(-1)) and enhanced photothermal efficiency(increase by 3.7 ℃ s^(-1) under 808 nm near-infrared). Moreover, the local cross-linking of sodium alginate with Ca^(2+) endows the hydrogel with programmable deformability and information display capabilities. Additionally, the hydrogel exhibits high sensitivity(gauge factor 3.94 within a wide strain range of 600%), fast response times(140 ms) and good cycling stability. Leveraging these exceptional properties, we incorporate the hydrogel into various soft actuators, including soft gripper, artificial iris, and bioinspired jellyfish, as well as wearable electronics capable of precise human motion and physiological signal detection. Furthermore, through the synergistic combination of remarkable actuation and sensitivity, we realize a self-sensing touch bioinspired tongue. Notably, by employing quantitative analysis of actuation-sensing, we realize remote interaction between soft-hard robot via the Internet of Things. The multifunctional self-sensing actuated gradient hydrogel presented in this study provides a new insight for advanced somatosensory materials, self-feedback intelligent soft robots and human–machine interactions. | He Liu Haoxiang Chu Hailiang Yuan Deliang Li Weisi Deng Zhiwei Fu Ruonan Liu Yiying Liu Yixuan Han Yanpeng Wang Yue Zhao Xiaoyu Cui Ye Tian | 2024 | Nano-Micro Letters2024，16，4： | 0 |
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