Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Merry W"'
Publikováno v:
Redox Biology, Vol 16, Iss , Pp 285-293 (2018)
Traumatic brain injury (TBI) is a major cause of death and disability worldwide. Despite intense investigation, no neuroprotective agents for TBI have yet translated to the clinic. Recent efforts have focused on identifying potential therapeutic targ
Externí odkaz:
https://doaj.org/article/da6ff007d63d478c9a7f3adbe809ea87
Autor:
Joshua T. Butcher, M. Irfan Ali, Merry W. Ma, Cameron G. McCarthy, Bianca N. Islam, Lauren G. Fox, James D. Mintz, Sebastian Larion, David J. Fulton, David W. Stepp
Publikováno v:
Physiological Reports, Vol 5, Iss 23, Pp n/a-n/a (2017)
Abstract The objective of this study is to test the hypothesis that increased muscle mass has positive effects on cardiovascular function. Specifically, we tested the hypothesis that increases in lean body mass caused by deletion of myostatin improve
Externí odkaz:
https://doaj.org/article/3130dbc9b6c046c89bfe59176f62f346
Autor:
Zhang, Chao, Ma, Merry W., Xu, Jia-Jie, Lu, Jian-Jian, Xie, Fang, Yang, Li-Ya, Li, Shu-Yuan, Wu, Huan-Huan, Sun, Heng, Yang, Biao, Teng, Li
Publikováno v:
In Journal of Cranio-Maxillo-Facial Surgery October 2018 46(10):1821-1827
Publikováno v:
In Free Radical Biology and Medicine 1 August 2018 123:62-71
Publikováno v:
In Redox Biology June 2018 16:285-293
Publikováno v:
In Free Radical Biology and Medicine March 2018 117:66-75
Publikováno v:
In Free Radical Biology and Medicine December 2017 113:119-131
Autor:
Diana Magee, Mohit Butaney, Merry W. Ma, Amy N. Luckenbaugh, Mary E. Hall, Nancy B. Davis, Christopher J.D. Wallis, Martha K. Terris, Aaron A. Laviana, Amanda Hird, Heather L. Huelster, Zachary Klaassen, Kyle Dymanus
Publikováno v:
CancerReferences. 127(17)
BACKGROUND Ensuring representative data accrual in clinical trials is important to safeguard the generalizability of results and to minimize disparities in care. This study's goal was to evaluate differences in gender representation in trials leading
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d174feaf1bbf52e3efcc9df5c1bda62a
https://pubmed.ncbi.nlm.nih.gov/34160824
https://pubmed.ncbi.nlm.nih.gov/34160824
Autor:
Everett Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data. Methods We apply machine learning steps in our framework
Externí odkaz:
https://doaj.org/article/1f66a97ac8ee4a47b13c4f8bfb608f21
Akademický článek
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