Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zan Armstrong"'
Autor:
Lauren Schiff, Bianca Migliori, Ye Chen, Deidre Carter, Caitlyn Bonilla, Jenna Hall, Minjie Fan, Edmund Tam, Sara Ahadi, Brodie Fischbacher, Anton Geraschenko, Christopher J. Hunter, Subhashini Venugopalan, Sean DesMarteau, Arunachalam Narayanaswamy, Selwyn Jacob, Zan Armstrong, Peter Ferrarotto, Brian Williams, Geoff Buckley-Herd, Jon Hazard, Jordan Goldberg, Marc Coram, Reid Otto, Edward A. Baltz, Laura Andres-Martin, Orion Pritchard, Alyssa Duren-Lubanski, Ameya Daigavane, Kathryn Reggio, NYSCF Global Stem Cell Array® Team, Phillip C. Nelson, Michael Frumkin, Susan L. Solomon, Lauren Bauer, Raeka S. Aiyar, Elizabeth Schwarzbach, Scott A. Noggle, Frederick J. Monsma, Daniel Paull, Marc Berndl, Samuel J. Yang, Bjarki Johannesson
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
By coupling robotic cell culture systems with artificial intelligence–powered image analysis, Schiff et al. identify previously unseen characteristics of Parkinson’s disease in patient skin cells that distinguish them from healthy controls.
Externí odkaz:
https://doaj.org/article/9d8265097577462f83aa83bf77ad2240
Autor:
Gregory A. Wellenius, Swapnil Vispute, Valeria Espinosa, Alex Fabrikant, Thomas C. Tsai, Jonathan Hennessy, Andrew Dai, Brian Williams, Krishna Gadepalli, Adam Boulanger, Adam Pearce, Chaitanya Kamath, Arran Schlosberg, Catherine Bendebury, Chinmoy Mandayam, Charlotte Stanton, Shailesh Bavadekar, Christopher Pluntke, Damien Desfontaines, Benjamin H. Jacobson, Zan Armstrong, Bryant Gipson, Royce Wilson, Andrew Widdowson, Katherine Chou, Andrew Oplinger, Tomer Shekel, Ashish K. Jha, Evgeniy Gabrilovich
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
In response to COVID-19, many states have implemented social distancing orders, but the effect of these orders on population mobility has not been fully quantified. Here, the authors use data from the US to show that state-level social distancing ord
Externí odkaz:
https://doaj.org/article/ae405398f06f40fb9d62f629f1089046
Autor:
Ali Bashir, Qin Yang, Jinpeng Wang, Stephan Hoyer, Wenchuan Chou, Cory McLean, Geoff Davis, Qiang Gong, Zan Armstrong, Junghoon Jang, Hui Kang, Annalisa Pawlosky, Alexander Scott, George E. Dahl, Marc Berndl, Michelle Dimon, B. Scott Ferguson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Current aptamer discovery approaches are unable to probe the complete space of possible sequences. Here, the authors use machine learning to facilitate the development of DNA aptamers with improved binding affinities, and truncate them without signif
Externí odkaz:
https://doaj.org/article/9508da0079cf405d9f6f644c1119f62f
Autor:
Marc A. Coram, Lisha Wang, William J. Godinez, David T. Barkan, Zan Armstrong, D. Michael Ando, Brian Y. Feng
Publikováno v:
ACS infectious diseases. 8(1)
Combination therapies are common in many therapeutic contexts, including infectious diseases and cancer. A common approach for evaluating combinations
Autor:
John M. Gregoire, Samuel Yang, Zan Armstrong, Marc Berndl, Christopher Roat, Matthias H. Richter, Lusann Yang, Marc Coram, Nicholas Wagner, Patrick Riley, Kevin Kan, Lan Zhou, Joel A. Haber
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Automation is accelerating the discovery of useful materials, yet testing even a small fraction of the billions of possible materials for a desired property is beyond the reach of workflows involving resource-intensive property measureme
Autor:
Samuel Yang, Arunachalam Narayanaswamy, Philip C. Nelson, Nina R. Makhortova, D. Michael Ando, Anton Geraschenko, Liyong Deng, Wendy K. Chung, Brian Williams, Lee L. Rubin, Zan Armstrong, Marc Berndl, Jon Hazard, Liadan O'Callaghan, Thorsten M. Schlaeger, Subhashini Venugopalan, Minjie Fan, Scott Lipnick, Dosh Whye
Publikováno v:
Slas Discovery
The etiological underpinnings of many CNS disorders are not well understood. This is likely due to the fact that individual diseases aggregate numerous pathological subtypes, each associated with a complex landscape of genetic risk factors. To overco
Autor:
Lauren, Schiff, Bianca, Migliori, Ye, Chen, Deidre, Carter, Caitlyn, Bonilla, Jenna, Hall, Minjie, Fan, Edmund, Tam, Sara, Ahadi, Brodie, Fischbacher, Anton, Geraschenko, Christopher J, Hunter, Subhashini, Venugopalan, Sean, DesMarteau, Arunachalam, Narayanaswamy, Selwyn, Jacob, Zan, Armstrong, Peter, Ferrarotto, Brian, Williams, Geoff, Buckley-Herd, Jon, Hazard, Jordan, Goldberg, Marc, Coram, Reid, Otto, Edward A, Baltz, Laura, Andres-Martin, Orion, Pritchard, Alyssa, Duren-Lubanski, Ameya, Daigavane, Kathryn, Reggio, Phillip C, Nelson, Michael, Frumkin, Susan L, Solomon, Lauren, Bauer, Raeka S, Aiyar, Elizabeth, Schwarzbach, Scott A, Noggle, Frederick J, Monsma, Daniel, Paull, Marc, Berndl, Samuel J, Yang, Bjarki, Johannesson
Publikováno v:
Nature communications. 13(1)
Drug discovery for diseases such as Parkinson’s disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and d
Autor:
Minjie Fan, Samuel Yang, Orion Pritchard, Sean DesMarteau, Zan Armstrong, Selwyn Jacob, Marc Coram, Peter Ferrarotto, Edward A. Baltz, Lauren Schiff, Edmund Tam, Alyssa Duren-Lubanski, Ameya Daigavane, Geoff Buckley-Herd, Brian Williams, Elizabeth Schwarzbach, Raeka S. Aiyar, Jordan Goldberg, Jenna Hall, Daniel Paull, Deidre Carter, Marc Berndl, Scott Noggle, Reid Otto, Jon Hazard, Frederick J. Monsma, Lauren Bauer, Caitlyn Bonilla, Brodie Fischbacher, Bianca Migliori, Ye Chen, Sara Ahadi, Bjarki Johannesson, Subhashini Venugopalan, Christopher J. Hunter, Arunachalam Narayanaswamy, Anton Geraschenko, Kathryn Reggio, Laura Andres-Martin
Drug discovery for diseases such as Parkinson’s disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0736c9ee7dda2c99486a56f923ee84dc
https://doi.org/10.1101/2020.11.13.380576
https://doi.org/10.1101/2020.11.13.380576
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
Autor:
George W. Ashdown, Michelle Dimon, Minjie Fan, D. Michael Ando, Kathrin Witmer, Fernando Sánchez-Román Terán, Zan Armstrong, Jake Baum, David C. A. Gaboriau
Publikováno v:
Science Advances. 6
Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved drugs with novel mechanisms of action to avoid cross-resistance. Current cell-based
Autor:
Christopher Pluntke, Tomer Shekel, Andrew Oplinger, Damien Desfontaines, Valeria Espinosa, Adam Boulanger, Andrew M. Dai, Brian Williams, Bryant Gipson, Gregory A. Wellenius, Zan Armstrong, Chinmoy Mandayam, Chaitanya Kamath, Charlotte Stanton, Evgeniy Gabrilovich, Katherine Chou, Royce Wilson, Arran Schlosberg, Swapnil Vispute, Andrew Widdowson, Thomas C. Tsai, Adam Pearce, Catherine Bendebury, Krishna Gadepalli, Alex Fabrikant, Benjamin H. Jacobson, Shailesh Bavadekar, Ashish K. Jha, Jonathan Hennessy
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
Nature Communications
Nature Communications, 12 (1)
Nature Communications
Nature Communications, 12 (1)
Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely quantified. Usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98fdd2af95e50dae28b8d1429606401