Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Mei Chiung Shih"'
Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning.
Autor:
Steven Cogill, Shriram Nallamshetty, Natalie Fullenkamp, Kent Heberer, Julie Lynch, Kyung Min Lee, Mihaela Aslan, Mei-Chiung Shih, Jennifer S Lee
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0290221 (2024)
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilitate the identification of patients at highest risk of adverse outcomes is a priority. The study objectives are to develop population-scale predictive
Externí odkaz:
https://doaj.org/article/afcc9b1816cd4dacbace2b1972e0e518
Autor:
Edward N. Janoff, Sheldon T. Brown, Ilana Belitskaya-Levy, Jeffrey L. Curtis, Robert A. Bonomo, Elliott K. Miller, Alexa M. Goldberg, Lisa Zehm, Ashlea Wills, Caitlin Hutchinson, Larry J. Dumont, Theresa Gleason, Mei-Chiung Shih
Publikováno v:
Contemporary Clinical Trials Communications, Vol 35, Iss , Pp 101190- (2023)
Background: Effective therapeutics for severe acute respiratory syndrome CoronaVirus-2 (SARS-CoV-2) infection are evolving. Under Emergency Use Authorization, COVID-19 convalescent plasma (CCP) was widely used in individuals hospitalized for COVID-19
Externí odkaz:
https://doaj.org/article/9b6533c71f6841f486856028b909d096
Autor:
Lauren E. Dang, Susan Gruber, Hana Lee, Issa J. Dahabreh, Elizabeth A. Stuart, Brian D. Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kıcıman, Demissie Alemayehu, Katherine L. Hoffman, Carla Y. Vossen, Raymond A. Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P. Waddy, Charles E. Barr, Mouna Akacha, John B. Buse, Mark van der Laan, Maya Petersen
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks from regulatory agencies, academia, professional societies, and indus
Externí odkaz:
https://doaj.org/article/1b066ab2c2c342e3b214a06e4b384ce1
Autor:
Hui Wang, Ilana Belitskaya-Levy, Fan Wu, Jennifer S. Lee, Mei-Chiung Shih, Philip S. Tsao, Ying Lu, on behalf of VA Million Veteran Program
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background To describe an automated method for assessment of the plausibility of continuous variables collected in the electronic health record (EHR) data for real world evidence research use. Methods The most widely used approach in quality
Externí odkaz:
https://doaj.org/article/dcddcd378870485390674998e92736de
Autor:
Kyung Min Lee, Kent Heberer, Anthony Gao, Daniel J. Becker, Stacy Loeb, Danil V. Makarov, Barbara Gulanski, Scott L. DuVall, Mihaela Aslan, Jennifer Lee, Mei-Chiung Shih, Julie A. Lynch, Richard L. Hauger, Matthew Rettig
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundThe incidence and severity of coronavirus disease 19 (COVID-19) is substantially higher in men. Sex hormones may be a potential mechanism for differences in COVID-19 outcome in men and women. We hypothesized that men treated with androgen d
Externí odkaz:
https://doaj.org/article/dfe31a76cabd45cfae4058488a7139e2
Autor:
Daniel W. Cramer, Mei-Chiung Shih, Linda Titus-Ernstoff, Immaculata De Vivo, Kathryn L. Terry
Biological and epidemiologic evidence suggest that androgen or its receptor may play a role in ovarian cancer pathogenesis. The most notable genetic factor influencing androgen receptor (AR) activity is the functional cytosine, adenine, guanine (CAG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174d58287f6cae3816e4ee582c86104f
https://doi.org/10.1158/0008-5472.c.6493724.v1
https://doi.org/10.1158/0008-5472.c.6493724.v1
Autor:
Daniel W. Cramer, Mei-Chiung Shih, Linda Titus-Ernstoff, Immaculata De Vivo, Kathryn L. Terry
Supplementary Table 1 from Androgen Receptor Cytosine, Adenine, Guanine Repeats, and Haplotypes in Relation to Ovarian Cancer Risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2dbd922e64cd3dc7e5439f7433ac85a
https://doi.org/10.1158/0008-5472.22363466.v1
https://doi.org/10.1158/0008-5472.22363466.v1
Autor:
Daniel W. Cramer, Mei-Chiung Shih, Linda Titus-Ernstoff, Immaculata De Vivo, Kathryn L. Terry
Supplementary Table 2 from Androgen Receptor Cytosine, Adenine, Guanine Repeats, and Haplotypes in Relation to Ovarian Cancer Risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::561d06bf790480c2a63ef34ea634102c
https://doi.org/10.1158/0008-5472.22363463
https://doi.org/10.1158/0008-5472.22363463
Autor:
Elliott K Miller, Alexa M Goldberg, Edward N Janoff, Sheldon T Brown, Jeffrey L Curtis, Robert A Bonomo, Mei-Chiung Shih, Theresa C Gleason
Publikováno v:
Clinical Trials. 19:137-145
Background: Success in conducting clinical trials during the coronavirus disease of 2019 pandemic requires the ability to innovate and adapt. There are well-established procedures for the blinding of investigational agents, especially medications, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d67e3cfafb07ac4cfd04b7935a24ea4
https://doi.org/10.1177/17407745211069703
https://doi.org/10.1177/17407745211069703
Autor:
J. David Clark, Matthew J. Bair, Ilana Belitskaya-Lévy, Colleen Fitzsimmons, Lisa M. Zehm, Paul E. Dougherty, Karleen F. Giannitrapani, Erik J. Groessl, Diana M. Higgins, Jennifer L. Murphy, Daniel L. Riddle, Grant D. Huang, Mei-Chiung Shih
Publikováno v:
Contemporary clinical trials. 125
Chronic low back pain (cLBP) is a common and highly disabling problem world-wide. Although many treatment options exist, it is unclear how to best sequence the multitude of care options to provide the greatest benefit to patients.The Sequential and C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d875232bd87b636dfc43b89bb4ddd34
https://pubmed.ncbi.nlm.nih.gov/36496154
https://pubmed.ncbi.nlm.nih.gov/36496154