Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Zhi-Cheng Li"'
Publikováno v:
Cancer Medicine, Vol 12, Iss 23, Pp 21256-21269 (2023)
Abstract Background Optimizing patient selection for neoadjuvant chemotherapy in patients with breast cancer remains an unmet clinical need. Quantitative features from medical imaging were reported to be predictive of treatment responses. However, th
Externí odkaz:
https://doaj.org/article/be40562f4fc4488388496eadda8a132d
Autor:
Weiwei Wang, Yuanshen Zhao, Lianghong Teng, Jing Yan, Yang Guo, Yuning Qiu, Yuchen Ji, Bin Yu, Dongling Pei, Wenchao Duan, Minkai Wang, Li Wang, Jingxian Duan, Qiuchang Sun, Shengnan Wang, Huanli Duan, Chen Sun, Yu Guo, Lin Luo, Zhixuan Guo, Fangzhan Guan, Zilong Wang, Aoqi Xing, Zhongyi Liu, Hongyan Zhang, Li Cui, Lan Zhang, Guozhong Jiang, Dongming Yan, Xianzhi Liu, Hairong Zheng, Dong Liang, Wencai Li, Zhi-Cheng Li, Zhenyu Zhang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of grea
Externí odkaz:
https://doaj.org/article/630def643c0f4fa6a7aae39ab7488270
Autor:
Zhen Liu, Xuanke Hong, Linglong Wang, Zeyu Ma, Fangzhan Guan, Weiwei Wang, Yuning Qiu, Xueping Zhang, Wenchao Duan, Minkai Wang, Chen Sun, Yuanshen Zhao, Jingxian Duan, Qiuchang Sun, Lin Liu, Lei Ding, Yuchen Ji, Dongming Yan, Xianzhi Liu, Jingliang Cheng, Zhenyu Zhang, Zhi-Cheng Li, Jing Yan
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background We aimed to develop machine learning models for prediction of molecular subgroups (low-risk group and intermediate/high-risk group) and molecular marker (KIAA1549-BRAF fusion) of pediatric low-grade gliomas (PLGGs) based on radiom
Externí odkaz:
https://doaj.org/article/217ea71e9c9048c4897acb3f469e11b1
Autor:
Jingxian Duan, Zhenyu Zhang, Yinsheng Chen, Yuanshen Zhao, Qiuchang Sun, Weiwei Wang, Hairong Zheng, Dong Liang, Jingliang Cheng, Jing Yan, Zhi‐Cheng Li
Publikováno v:
Molecular Oncology, Vol 17, Iss 4, Pp 629-646 (2023)
Tumor subtyping based on its immune landscape may guide precision immunotherapy. The aims of this study were to identify immune subtypes of adult diffuse gliomas with RNA sequencing data, and to noninvasively predict this subtype using a biologically
Externí odkaz:
https://doaj.org/article/67d98c5a0ba048beb084dc0378a03e66
Autor:
Wei Ma, Bin Wang, Dun Wang, Ying Liu, Ming-Chao Jiang, Jin-Yan Zhang, Dong-Dong Peng, Zhi-Cheng Li, Cui-Yun Yu, Hua Wei
Publikováno v:
Supramolecular Materials, Vol 3, Iss , Pp 100066- (2024)
Chemodynamic therapy, which relies on the generation of cytotoxic radicals, can be amplified by a nanoplatform that produces hydroxyl radicals while also compromising natural radical scavenging mechanisms. For this purpose, a well-defined amphiphilic
Externí odkaz:
https://doaj.org/article/29fb86bec7fc49789f2bb445dea78ea2
Publikováno v:
Parasites & Vectors, Vol 15, Iss 1, Pp 1-8 (2022)
Abstract Background Cryptocaryon irritans is a fatal parasite for marine teleosts and causes severe economic loss for aquaculture. Galvanized materials have shown efficacy in controlling this parasite infestation through the release of zinc ions to i
Externí odkaz:
https://doaj.org/article/9e1f068680fc4872ba702cfa7d788917
Autor:
Dian Jiang, Jianxiang Liao, Cailei Zhao, Xia Zhao, Rongbo Lin, Jun Yang, Zhi-Cheng Li, Yihang Zhou, Yanjie Zhu, Dong Liang, Zhanqi Hu, Haifeng Wang
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 870 (2023)
Multi-contrast magnetic resonance imaging (MRI) is wildly applied to identify tuberous sclerosis complex (TSC) children in a clinic. In this work, a deep convolutional neural network with multi-contrast MRI is proposed to diagnose pediatric TSC. Firs
Externí odkaz:
https://doaj.org/article/7e15b73a957e407e9d0333f46f40ea2b
Autor:
Bi-Xing Fang, Yin-Fei Liang, Jing Gu, Zhi-Cheng Li, Zhen-Zhi Li, Jin-Tian Cen, Lian-Xiong Yuan, Ke Zheng, Dan Chen, Xiang-Li Zeng, Jing Ni
Publikováno v:
Chinese Medical Journal, Vol 134, Iss 10, Pp 1242-1244 (2021)
Externí odkaz:
https://doaj.org/article/f494ee25edf4472f9cdb5b15161365d4
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesPhosphatase and tensin homolog (PTEN) mutation is an indicator of poor prognosis of low-grade and high-grade glioma. This study built a reliable model from multi-parametric magnetic resonance imaging (MRI) for predicting the PTEN mutation s
Externí odkaz:
https://doaj.org/article/6b83b0f222a64ad28d120de07813308f
Autor:
Jing Yan, Yuanshen Zhao, Yinsheng Chen, Weiwei Wang, Wenchao Duan, Li Wang, Shenghai Zhang, Tianqing Ding, Lei Liu, Qiuchang Sun, Dongling Pei, Yunbo Zhan, Haibiao Zhao, Tao Sun, Chen Sun, Wenqing Wang, Zhen Liu, Xuanke Hong, Xiangxiang Wang, Yu Guo, Wencai Li, Jingliang Cheng, Xianzhi Liu, Xiaofei Lv, Zhi-Cheng Li, Zhenyu Zhang
Publikováno v:
EBioMedicine, Vol 72, Iss , Pp 103583- (2021)
Background: To develop and validate a deep learning signature (DLS) from diffusion tensor imaging (DTI) for predicting overall survival in patients with infiltrative gliomas, and to investigate the biological pathways underlying the developed DLS. Me
Externí odkaz:
https://doaj.org/article/9bc20e513a884ba6b3a3afd31dbcbee7