Zobrazeno 1 - 4
of 4
pro vyhledávání: '"GLORIA LIAO"'
Autor:
Katherine H. Sippel, Fasiha Kanwal, Christopher I. Amos, Gloria Liao, Dakai Zhu, Charles Minard, Claudia Neuhauser, Mary Dickinson, Bettina M. Beech
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 23-23 (2024)
OBJECTIVES/GOALS: Clinical and translational science needs to address roadblocks to translational processes. We conducted a survey at two institutions, a private medical school and a large public university, to understand the frequency and distributi
Externí odkaz:
https://doaj.org/article/3454460fa4fc4f9fb0c018e4a79638b0
Autor:
Andrew J. Zimolzak, Katherine Sippel, Jessica A. Davila, Michael E. DeBakey, Vamshi Punugoti, Paul E. Klotman, Laura A. Petersen, Gloria Liao, Lee Leiber, Christopher I. Amos
Publikováno v:
Journal of Clinical and Translational Science, Vol 7, Pp 127-128 (2023)
OBJECTIVES/GOALS: In 2020, Baylor College of Medicine held a datathon to introduce a data warehouse, identify its capabilities/limitations, foster collaborations, and engage trainees. The event was held again in 2022, and lessons learned (e.g., tools
Externí odkaz:
https://doaj.org/article/5488f5496061402692500e84589af2b7
Autor:
Andrew J. Zimolzak, Jessica A. Davila, Vamshi Punugoti, Ashok Balasubramanyam, Paul E. Klotman, Laura A. Petersen, Ryan H. Rochat, Gloria Liao, Rory R. Laubscher, Lee Leiber, Christopher I. Amos
Publikováno v:
Journal of Clinical and Translational Science, Vol 6 (2022)
In 2020, Baylor College of Medicine held a datathon to inform potential users of a new data warehouse, allow users to address clinical questions, identify warehouse capabilities and limitations, foster collaborations, and engage trainees. Senior facu
Externí odkaz:
https://doaj.org/article/2b7ba56ecdc845ca9458cda1b9ad400b
Autor:
NUPUR KIKANI, GRACIELA MONTES, RUCHI GABA, GLORIA LIAO, MUSTAFA TOSUR, MARIA J. REDONDO, ASHOK BALASUBRAMANYAM
Publikováno v:
Diabetes. 71
Investigating atypical forms of diabetes (other than types 1 or 2, monogenic or secondary) is the focus of research in the Rare and Atypical Diabetes Network (RADIANT) . It is difficult to identify persons with atypical diabetes using standard electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58dc2ed306773ef0d2357602fdc618a0
https://doi.org/10.2337/db22-170-lb
https://doi.org/10.2337/db22-170-lb