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16 de mar. de 2021 · Overall, the identification of these metabolic phenotypes provides insight into the dysfunctional immune response in acutely ill COVID-19 patients and provides a means to predict and track disease severity and/or design metabolic therapeutic regimens.
Richard THOMPSON | Cited by 6,962 | of Johns Hopkins Bloomberg School of Public Health, MD (JHSPH) | Read 114 publications | Contact Richard THOMPSON
Research Interests. Biostatistics, Computing; environmental statistics; risk assessment; mathematical modeling; statistical computing.
Richard Thompson is a senior scientist at the Bloomberg School of Public Health, with research interests in cerebral hemorrhage, cavernous malformations, and Alzheimer's disease. He has published 151 articles, reviews, and chapters, and collaborated with the National Institutes of Health (U.S.) and other institutions.
Richard E. Thompson. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. ... DF Hanley, RE Thompson, M Rosenblum, G Yenokyan, K Lane, N McBee, ... The Lancet 393 (10175), 1021-1032, 2019. 632: 2019: Kindergarten predictors of math learning disability.
Background: In a randomized, placebo-controlled, clinical trial, bamlanivimab, a SARS-CoV-2-neutralizing monoclonal antibody, given in combination with remdesivir, did not improve outcomes among hospitalized patients with COVID-19 based on an early futility assessment. Objective: To evaluate the a priori hypothesis that bamlanivimab has greater benefit in patients without detectable levels of ...
Oncogenic alterations to DNA are not transforming in all cellular contexts 1,2. This may be due to pre-existing transcriptional programmes in the cell of origin. Here we define anatomic position as a major determinant of why cells respond to specific oncogenes.
