Laboratory information management system for COVID-19 non-clinical efficacy trial data

BACKGROUND: As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to devel...

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Detalles Bibliográficos
Autores principales: Yoon, Suhyeon, Noh, Hyuna, Jin, Heejin, Lee, Sungyoung, Han, Soyul, Kim, Sung-Hee, Kim, Jiseon, Seo, Jung Seon, Kim, Jeong Jin, Park, In Ho, Oh, Jooyeon, Bae, Joon-Yong, Lee, Gee Eun, Woo, Sun-Je, Seo, Sun-Min, Kim, Na-Won, Lee, Youn Woo, Jang, Hui Jeong, Hong, Seung-Min, An, Se-Hee, Lyoo, Kwang-Soo, Yeom, Minjoo, Lee, Hanbyeul, Jung, Bud, Yoon, Sun-Woo, Kang, Jung-Ah, Seok, Sang-Hyuk, Lee, Yu Jin, Kim, Seo Yeon, Kim, Young Been, Hwang, Ji-Yeon, On, Dain, Lim, Soo-Yeon, Kim, Sol Pin, Jang, Ji Yun, Lee, Ho, Kim, Kyoungmi, Lee, Hyo-Jung, Kim, Hong Bin, Park, Jun Won, Jeong, Dae Gwin, Song, Daesub, Choi, Kang-Seuk, Lee, Ho-Young, Choi, Yang-Kyu, Choi, Jung-ah, Song, Manki, Park, Man-Seong, Seo, Jun-Young, Nam, Ki Taek, Shin, Jeon-Soo, Won, Sungho, Yun, Jun-Won, Seong, Je Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238008/
https://www.ncbi.nlm.nih.gov/pubmed/35765097
http://dx.doi.org/10.1186/s42826-022-00127-2

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