咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Reducing language barriers, pr... 收藏

Reducing language barriers, promoting information absorption, and communication using fanyi

Reducing language barriers, promoting information absorption, and communication using fanyi

作     者:Wang Difei Chen Guannan Li Lin Wen Shaodi Xie Zijing Luo Xiao Zhan Li Xu Shuangbin Li Junrui Wang Rui Wang Qianwen Yu Guangchuang Difei Wang;Guannan Chen;Lin Li;Shaodi Wen;Zijing Xie;Xiao Luo;Li Zhan;Shuangbin Xu;Junrui Li;Rui Wang;Qianwen Wang;Guangchuang Yu

作者机构:Nanfang Hospital Southern Medical University Guangzhou Guangdong China Department of Bioinformatics School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong China Comprehensive Technology Center of Lianyungang Customs Lianyungang Jiangsu China Department of Oncology The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital Nanjing Jiangsu China Department of Laboratory Medicine Microbiome Medicine Center Zhujiang Hospital Southern Medical University Guangzhou Guangdong China 

出 版 物:《中华医学杂志(英文版)》 (Chinese Medical Journal)

年 卷 期:2024年第137卷第16期

页      面:2024 Jul 22页

核心收录:

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:National Natural Science Foundation of China(No. 32270677) 

主  题:Multilingualism Communication barriers Translating Artificial intelligence Single-cell analysis Gene expression profiling Biological markers 

摘      要:Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, thefanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information (NCBI), significantly enhancing accessibility. Additionally, understanding the latest research advancements and sharing achievements are crucial for junior researchers. However, language barriers often restrict knowledge absorption and career development. To address these challenges, we developed thefanyi package, which leverages artificial intelligence (AI)-driven online translation services to accurately translate among multiple languages. This dual functionality allows researchers to quickly capture and comprehend information, promotes a multilingual environment, and fosters innovation in academic community. Meanwhile, the translation functions are versatile and applicable beyond biomedicine research to other domains as well. Thefanyi package is freely available at https://***/YuLab-SMU/fanyi.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分