K
Karla Therese L Sy
Researcher at Boston University
Publications - 26
Citations - 868
Karla Therese L Sy is an academic researcher from Boston University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 9, co-authored 23 publications receiving 429 citations. Previous affiliations of Karla Therese L Sy include Icahn School of Medicine at Mount Sinai & New York Stem Cell Foundation.
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Journal ArticleDOI
Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells.
Daniel Paull,Ana Sevilla,Hongyan Zhou,Aana Kim Hahn,Hesed Kim,Christopher Napolitano,Alexander M. Tsankov,Alexander M. Tsankov,Linshan Shang,Katie Krumholz,Premlatha Jagadeesan,Chris M. Woodard,Bruce Sun,Thierry Vilboux,Thierry Vilboux,Matthew Zimmer,Eliana Forero,Dorota N. Moroziewicz,Hector Martinez,May Christine V. Malicdan,Keren A. Weiss,Keren A. Weiss,Lauren B Vensand,Carmen R Dusenberry,Hannah Polus,Karla Therese L Sy,David J. Kahler,David J. Kahler,William A. Gahl,Susan L. Solomon,Stephen Chang,Alexander Meissner,Alexander Meissner,Kevin Eggan,Scott Noggle +34 more
TL;DR: It is demonstrated that automated reprogramming and the pooled selection of polyclonal pluripotent cells results in high-quality, stable iPSCs, which display less line-to-line variation than either manually produced lines or lines produced through automation followed by single-colony subcloning.
Journal ArticleDOI
Geographic access to United States SARS-CoV-2 testing sites highlights healthcare disparities and may bias transmission estimates.
Benjamin Rader,Benjamin Rader,Christina M Astley,Karla Therese L Sy,Kara Sewalk,Yulin Hswen,Yulin Hswen,John S. Brownstein,John S. Brownstein,Moritz U. G. Kraemer +9 more
TL;DR: High-resolution travel-time metrics with a SARS-CoV-2 testing location database in the United States found median travel time is longer in counties with lower population density, and a higher percent of minority and uninsured individuals.
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Population density and basic reproductive number of COVID-19 across United States counties.
TL;DR: In this article, the authors conducted a cross-sectional analysis using linear mixed models with random intercept and fixed slopes to assess the association of population density and the basic reproductive number (R0) of SARS-CoV-2 across U.S. counties.
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Previous and active tuberculosis increases risk of death and prolongs recovery in patients with COVID-19.
TL;DR: The findings show that coinfection with tuberculosis increased morbidity and mortality in COVID-19 patients, and highlight the need to prioritize routine and testing services for tuberculosis, although health systems are disrupted by the heavy burden of the SARS-CoV-2 pandemic.
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Socioeconomic Disparities in Subway Use and COVID-19 Outcomes in New York City.
TL;DR: In this article, the authors found an estimated 28-day lag between the onset of reduced subway use and the end of the exponential growth period of severe acute respiratory syndrome coronavirus 2 within New York City boroughs.