Zobrazeno 1 - 10
of 3 693
pro vyhledávání: '"A. Badley"'
Publikováno v:
Journal of Virus Eradication, Vol 2, Iss , Pp 2-3 (2016)
Externí odkaz:
https://doaj.org/article/5d39e2d3114d4b14b45b1c9e34eafde5
Autor:
Matthew D. Czech, Darryl Badley, Liuqing Yang, Jie Shen, Michelle Crouthamel, Tairmae Kangarloo, E. Ray Dorsey, Jamie L. Adams, Josh D. Cosman
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Digital health technologies show promise for improving the measurement of Parkinson’s disease in clinical research and trials. However, it is not clear whether digital measures demonstrate enhanced sensitivity to disease progres
Externí odkaz:
https://doaj.org/article/d8b0b40ff9e043efa63b24c88fc91fa6
Autor:
Li, Tai-Wei, Park, Youngmin, Watters, Emily G., Wang, Xu, Zhou, Dawei, Fiches, Guillaume N., Wu, Zhenyu, Badley, Andrew D., Sacha, Jonah B., Ho, Wen-Zhe, Santoso, Netty G., Qi, Jun, Zhu, Jian
Publikováno v:
In Antiviral Research August 2024 228
Autor:
Ravindra Ganesh, Siddhant Yadav, Ryan T. Hurt, Michael R. Mueller, Christopher A. Aakre, Elizabeth A. Gilman, Stephanie L. Grach, Joshua Overgaard, Melissa R. Snyder, Nerissa M. Collins, Ivana T. Croghan, Andrew D. Badley, Raymund R. Razonable, Bradley R. Salonen
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Background: Over 30% of patients with COVID-19 have persistent symptoms that last beyond 30 days and referred to as Long COVID. Long COVID has been associated with a persistent elevation in peripheral cytokines including interleukin-6, interleukin-1
Externí odkaz:
https://doaj.org/article/c8b19f3bdac2437dac9b4c228d3ae0b8
Autor:
Perruccio, Anthony V. #, †, ‡, §, Young, James J. #, †, ¶, Wilfong, Jessica M. #, †, Denise Power, J. #, †, Canizares, Mayilee #, †, Badley, Elizabeth M. #, †, ∥
Publikováno v:
In Osteoarthritis and Cartilage February 2024 32(2):159-165
Autor:
Elizabeth Ann L Enninga, Huy Quang Quach, Jin Sung Jang, Maria Cristina Miranda de Araujo Correia, Yaroslav Fedyshyn, Bohdana Fedyshyn, Maureen Lemens, Dawn Littlefield, Supriya Behl, Elise Sintim-Aboagye, Maria C Mejia Plazas, Maria C Cardenas, Shree Chakraborty, Satoko Yamaoka, Hideki Ebihara, Akhilesh Pandey, Hu Li, Andrew D Badley, Erica L Johnson, Jie Sun, Andrew P Norgan, Regan N Theiler, Rana Chakraborty
Publikováno v:
PLoS Pathogens, Vol 20, Iss 2, p e1011990 (2024)
BackgroundHofbauer cells (HBCs) and cytotrophoblasts (CTBs) are major cell populations in placenta. The indirect impact of maternal SARS-CoV-2 disease on these cells that are not directly infected has not been extensively studied. Herein, we profiled
Externí odkaz:
https://doaj.org/article/12c1ccaa727f4b4ba397eb3630dd85bf
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/0d4b387cb18049519e71e0074462d4d8
Autor:
Pawlowski, Colin, Wagner, Tyler, Puranik, Arjun, Murugadoss, Karthik, Loscalzo, Liam, Venkatakrishnan, AJ, Pruthi, Rajiv K., Houghton, Damon E., OHoro, John C., Morice II, William G., Halamka, John, Badley, Andrew D., Barnathan, Elliot S., Makimura, Hideo, Khan, Najat, Soundararajan, Venky
Temporal inference from laboratory testing results and their triangulation with clinical outcomes as described in the associated unstructured text from the providers notes in the Electronic Health Record (EHR) is integral to advancing precision medic
Externí odkaz:
http://arxiv.org/abs/2005.10938
Autor:
Shweta, FNU, Murugadoss, Karthik, Awasthi, Samir, Venkatakrishnan, AJ, Puranik, Arjun, Kang, Martin, Pickering, Brian W., O'Horo, John C., Bauer, Philippe R., Razonable, Raymund R., Vergidis, Paschalis, Temesgen, Zelalem, Rizza, Stacey, Mahmood, Maryam, Wilson, Walter R., Challener, Douglas, Anand, Praveen, Liebers, Matt, Doctor, Zainab, Silvert, Eli, Solomon, Hugo, Wagner, Tyler, Gores, Gregory J., Williams, Amy W., Halamka, John, Soundararajan, Venky, Badley, Andrew D.
Understanding the temporal dynamics of COVID-19 patient phenotypes is necessary to derive fine-grained resolution of pathophysiology. Here we use state-of-the-art deep neural networks over an institution-wide machine intelligence platform for the aug
Externí odkaz:
http://arxiv.org/abs/2004.09338
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