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

Abstract Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi package offers tools to retrieve gene information from sources like National Center for Biotech...

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Vydáno v:Chinese medical journal Ročník 137; číslo 16; s. 1950 - 1956
Hlavní autoři: Wang, Difei, Chen, Guannan, Li, Lin, Wen, Shaodi, Xie, Zijing, Luo, Xiao, Zhan, Li, Xu, Shuangbin, Li, Junrui, Wang, Rui, Wang, Qianwen, Yu, Guangchuang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hagerstown, MD Lippincott Williams & Wilkins 20.08.2024
Lippincott Williams & Wilkins Ovid Technologies
Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China%Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China%Comprehensive Technology Center of Lianyungang Customs, Lianyungang, Jiangsu 222042, China%Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital, Nanjing, Jiangsu 210009, China%Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
Wolters Kluwer
Témata:
Artificial Intelligence
Biomedical research
Cell cycle
Communication Barriers
Gene expression
Genetic markers
Humans
Hypotheses
Language
Large language models
Libraries
Original
Researchers
Visualization
Multilingualism
Single-cell analysis
Gene expression profiling
Translating
Biological markers
Artificial intelligence
Communication barriers
ISSN:0366-6999, 2542-5641, 2542-5641
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Popis
Shrnutí:Abstract Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi 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 the fanyi 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. The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi.
Bibliografie:Correspondence to: Prof. Guangchuang Yu, Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China E-Mail: gcyu1@smu.edu.cn; Dr. Qianwen Wang, Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China E-Mail: treywea@smu.edu.cn How to cite this article: Wang DF, Chen GN, Li L, Wen SD, Xie ZJ, Luo X, Zhan L, Xu SB, Li JR, Wang R, Wang QW, Yu GC. Reducing language barriers, promoting information absorption, and communication using fanyi. Chin Med J 2024;137:1950–1956. doi: 10.1097/CM9.0000000000003242
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ISSN:0366-6999
2542-5641
2542-5641
DOI:10.1097/CM9.0000000000003242