Reducing language barriers, promoting information absorption, and communication using fanyi
10.1097/CM9.0000000000003242
- VernacularTitle:Reducing language barriers, promoting information absorption, and communication using fanyi
- Author:
Difei WANG
1
;
Guannan CHEN
;
Lin LI
;
Shaodi WEN
;
Zijing XIE
;
Xiao LUO
;
Li ZHAN
;
Shuangbin XU
;
Junrui LI
;
Rui WANG
;
Qianwen WANG
;
Guangchuang YU
Author Information
1. Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Keywords:
Multilingualism;
Communication barriers;
Translating;
Artificial intelligence;
Single-cell analysis;
Gene expression profiling;
Biological markers
- From:
Chinese Medical Journal
2024;137(16):1950-1956
- CountryChina
- Language:Chinese
-
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.
