Zobrazeno 1 - 10
of 712
pro vyhledávání: '"Shaoting, Zhang"'
Autor:
Xiangde Luo, Wenjun Liao, Yue Zhao, Youjing Qiu, Jinfeng Xu, Yuan He, Hui Huang, Lu Li, Shichuan Zhang, Jia Fu, Guotai Wang, Shaoting Zhang
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract The deep learning (DL)-based prediction of accurate lymph node (LN) clinical target volumes (CTVs) for nasopharyngeal carcinoma (NPC) radiotherapy (RT) remains challenging. One of the main reasons is the variability of contours despite stand
Externí odkaz:
https://doaj.org/article/8b3aaffce81947c18ff18d6fcff6dcab
Autor:
Weijian Huang, Cheng Li, Hong-Yu Zhou, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shaoting Zhang, Shanshan Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Recently, multi-modal vision-language foundation models have gained significant attention in the medical field. While these models offer great opportunities, they still face crucial challenges, such as the requirement for fine-grained knowle
Externí odkaz:
https://doaj.org/article/1c999005d5f24f61ad89398c466d25d8
Autor:
Xu Cao, Jinhai Tian, Man Yee Cheung, Liangying Zhang, Zimei Liu, Zongying Jiang, Shaoting Zhang, Kun Xiao, Sien Zhao, Ming Wang, Feng Ding, Shujing Li, Lijun Ma, Hui Zhao, Jianmin Sun
Publikováno v:
Cell & Bioscience, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Background Zinc finger SWIM-type containing 4 (ZSWIM4) is a zinc finger protein with its function largely uncharacterized. In this study, we aimed to investigate the role of ZSWIM4 in gastrointestinal stromal tumors (GISTs). Results We found
Externí odkaz:
https://doaj.org/article/b63a695bbaaf4f9e96096d1eaf3f4d65
Autor:
Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, Ruikun He, Shaoting Zhang, Liansheng Wang, Junwei Liu, Yixue Li
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract Cancer is a complex disease composing systemic alterations in multiple scales. In this study, we develop the Tumor Multi-Omics pre-trained Network (TMO-Net) that integrates multi-omics pan-cancer datasets for model pre-training, facilitating
Externí odkaz:
https://doaj.org/article/0d10d2ea456e4903bb23f8991e72ab2a
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
IntroductionClinical research on smart health has an increasing demand for intelligent and clinic-oriented medical image computing algorithms and platforms that support various applications. However, existing research platforms for medical image info
Externí odkaz:
https://doaj.org/article/a581e755681946afaa44836f1f95df2a
Autor:
Lingrui Yang, Jiali Pang, Song Zuo, Jian Xu, Wei Jin, Feng Zuo, Kui Xue, Zhongzhou Xiao, Xinwei Peng, Jie Xu, Xiaofan Zhang, Ruiyao Chen, Shuqing Luo, Shaoting Zhang, Xin Sun
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e51711 (2024)
BackgroundAlthough new technologies have increased the efficiency and convenience of medical care, patients still struggle to identify specialized outpatient departments in Chinese tertiary hospitals due to a lack of medical knowledge. ObjectiveThe
Externí odkaz:
https://doaj.org/article/4f4e42fbebb54aeb98ec7830824eea33
Autor:
Jinhai Tian, Xu Cao, Zongying Jiang, Jia Wang, Wan Fan, Shaoting Zhang, Sien Zhao, Jianmin Sun
Publikováno v:
Cancer Medicine, Vol 13, Iss 17, Pp n/a-n/a (2024)
Abstract Background Colorectal cancer (CRC) is a prevalent and lethal tumor, with metastasis being the leading cause of mortality. Previous research has indicated that the long non‐coding RNA (lncRNA) CCAT2 is involved in the regulation of various
Externí odkaz:
https://doaj.org/article/15da43fea7ba42d0a59cf089b58b309c
Autor:
Fang Yan, Qian Da, Hongmei Yi, Shijie Deng, Lifeng Zhu, Mu Zhou, Yingting Liu, Ming Feng, Jing Wang, Xuan Wang, Yuxiu Zhang, Wenjing Zhang, Xiaofan Zhang, Jingsheng Lin, Shaoting Zhang, Chaofu Wang
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-12 (2024)
Abstract Diffuse large B cell lymphoma (DLBCL) is an aggressive blood cancer known for its rapid progression and high incidence. The growing use of immunohistochemistry (IHC) has significantly contributed to the detailed cell characterization, thereb
Externí odkaz:
https://doaj.org/article/1ce1530f669a4a3ba193648ec48199e2
Autor:
Xi Chen, Li Wang, MingKe You, WeiZhi Liu, Yu Fu, Jie Xu, Shaoting Zhang, Gang Chen, Kang Li, Jian Li
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e58158 (2024)
BackgroundThe efficacy of large language models (LLMs) in domain-specific medicine, particularly for managing complex diseases such as osteoarthritis (OA), remains largely unexplored. ObjectiveThis study focused on evaluating and enhancing the clini
Externí odkaz:
https://doaj.org/article/bca137428c484ef9ab49723b1eb0d658
Autor:
Jie Xu, Lu Lu, Xinwei Peng, Jiali Pang, Jinru Ding, Lingrui Yang, Huan Song, Kang Li, Xin Sun, Shaoting Zhang
Publikováno v:
JMIR Medical Informatics, Vol 12, Pp e57674-e57674 (2024)
Abstract BackgroundLarge language models (LLMs) have achieved great progress in natural language processing tasks and demonstrated the potential for use in clinical applications. Despite their capabilities, LLMs in the medical domain are prone to ge
Externí odkaz:
https://doaj.org/article/cdc2c9161fd64c2e95096d468c659585