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Full-Text Articles in Translational Medical Research
Foundational Research And Nih Funding Enabling Emergency Use Authorization Of Remdesivir For Covid-19, Ekaterina Galkina Cleary, Matthew J. Jackson, Zoë Folchman-Wagner, Fred D. Ledley
Foundational Research And Nih Funding Enabling Emergency Use Authorization Of Remdesivir For Covid-19, Ekaterina Galkina Cleary, Matthew J. Jackson, Zoë Folchman-Wagner, Fred D. Ledley
Natural & Applied Sciences Faculty Publications
Emergency Use Authorization for remdesivir months after discovery of COVID-19 is unprecedented. Typically, decades of research and public-sector funding are required to establish the mature body of foundational research requisite for efficient, targeted drug discovery and development. This work quantifies the body of research related to remdesivir’s biological target, RNA-dependent RNA polymerase (RdRp), or parent chemical structure, nucleoside analogs (NcAn), through 2019, as well as NIH funding for this research 2000–2019. There were 6,567 RdRp-related publications in PubMed, including 1,263 with NIH support, and 11,073 NcAn-related publications, including 2,319 with NIH support. NIH support for RdRp research comprised 2,203 Project …
Brainwave Nets: Are Sparse Dynamic Models Susceptible To Brain Manipulation Experimentation?, Diego C. Nascimento, Marco A. Pinto-Orellana, Joao P. Leite, Dylan J. Edwards, Francisco Louzada, Taiza E.G. Santos
Brainwave Nets: Are Sparse Dynamic Models Susceptible To Brain Manipulation Experimentation?, Diego C. Nascimento, Marco A. Pinto-Orellana, Joao P. Leite, Dylan J. Edwards, Francisco Louzada, Taiza E.G. Santos
Research outputs 2014 to 2021
© Copyright © 2020 Nascimento, Pinto-Orellana, Leite, Edwards, Louzada and Santos. Sparse time series models have shown promise in estimating contemporaneous and ongoing brain connectivity. This paper was motivated by a neuroscience experiment using EEG signals as the outcome of our established interventional protocol, a new method in neurorehabilitation toward developing a treatment for visual verticality disorder in post-stroke patients. To analyze the [complex outcome measure (EEG)] that reflects neural-network functioning and processing in more specific ways regarding traditional analyses, we make a comparison among sparse time series models (classic VAR, GLASSO, TSCGM, and TSCGM-modified with non-linear and iterative optimizations) …