Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Ricardo, Henao"'
Autor:
Christopher W Woods, Ricardo Henao, Geoffrey S Ginsburg, Ephraim L Tsalik, Matthew McCravy, Nicholas O’Grady, Kirin Khan, Marisol Betancourt-Quiroz, Aimee K Zaas, Amy E Treece, Zhonghui Yang, Loretta Que, Sunil Suchindran, Micah T McClain
Publikováno v:
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Background Pneumonia due to typical bacterial, atypical bacterial and viral pathogens can be difficult to clinically differentiate. Host response-based diagnostics are emerging as a complementary diagnostic strategy to pathogen detection.Methods We u
Externí odkaz:
https://doaj.org/article/94264de395084613903bd2ca92ca1866
Autor:
Hyeon Ki Jeong, Christine Park, Simon W. Jiang, Matilda Nicholas, Suephy Chen, Ricardo Henao, Meenal Kheterpal
Publikováno v:
JID Innovations, Vol 4, Iss 4, Pp 100285- (2024)
The image quality received for clinical evaluation is often suboptimal. The goal is to develop an image quality analysis tool to assess patient- and primary care physician–derived images using deep learning model. Dataset included patient- and prim
Externí odkaz:
https://doaj.org/article/547e4b12e9ca4f46a7884bb345a70e71
Autor:
Emily R. Ko, Megan E. Reller, L. Gayani Tillekeratne, Champica K. Bodinayake, Cameron Miller, Thomas W. Burke, Ricardo Henao, Micah T. McClain, Sunil Suchindran, Bradly Nicholson, Adam Blatt, Elizabeth Petzold, Ephraim L. Tsalik, Ajith Nagahawatte, Vasantha Devasiri, Matthew P. Rubach, Venance P. Maro, Bingileki F. Lwezaula, Wasantha Kodikara-Arachichi, Ruvini Kurukulasooriya, Aruna D. De Silva, Danielle V. Clark, Kevin L. Schully, Deng Madut, J. Stephen Dumler, Cecilia Kato, Renee Galloway, John A. Crump, Geoffrey S. Ginsburg, Timothy D. Minogue, Christopher W. Woods
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Diagnostic limitations challenge management of clinically indistinguishable acute infectious illness globally. Gene expression classification models show great promise distinguishing causes of fever. We generated transcriptional data for a 2
Externí odkaz:
https://doaj.org/article/6b810e23001a49d88802db46e9e5c9d3
Publikováno v:
Mammalogy Notes, Vol 10, Iss 1 (2024)
Las lagunas de oxidación de Zaragoza son un sistema de tratamiento de agua residual de las Empresas Municipales de Cartago E.S.P. con un fragmento de Bosque Seco Tropical, donde se han implementado estrategias de manejo para mejorar la calidad del a
Externí odkaz:
https://doaj.org/article/f2cfab932195454dbe8e3e39bcdc2300
Autor:
Micah T. McClain, Ilya Zhbannikov, Lisa L. Satterwhite, Ricardo Henao, Nicholas S. Giroux, Shengli Ding, Thomas W. Burke, Ephraim L. Tsalik, Christina Nix, Jorge Prado Balcazar, Elizabeth A. Petzold, Xiling Shen, Christopher W. Woods
Publikováno v:
iScience, Vol 27, Iss 1, Pp 108288- (2024)
Summary: To elucidate host response elements that define impending decompensation during SARS-CoV-2 infection, we enrolled subjects hospitalized with COVID-19 who were matched for disease severity and comorbidities at the time of admission. We perfor
Externí odkaz:
https://doaj.org/article/6e07d43e0da14020bb61da0c455e7171
Autor:
C. Ellis Wisely, MD, MBA, Alexander Richardson, Ricardo Henao, PhD, Cason B. Robbins, MD, Justin P. Ma, MD, Dong Wang, PhD, Kim G. Johnson, MD, Andy J. Liu, MD, Dilraj S. Grewal, MD, Sharon Fekrat, MD, FASRS
Publikováno v:
Ophthalmology Science, Vol 4, Iss 1, Pp 100355- (2024)
Purpose: To develop a machine learning tool capable of differentiating eyes of subjects with normal cognition from those with mild cognitive impairment (MCI) using OCT and OCT angiography (OCTA). Design: Evaluation of a diagnostic technology. Partici
Externí odkaz:
https://doaj.org/article/19a2943d0a5e4c02855f3127309bbbd6
Autor:
Tianyi Chen, George Dalton, Seh-Hoon Oh, Raquel Maeso-Diaz, Kuo Du, Rachel A. Meyers, Cynthia Guy, Manal F. Abdelmalek, Ricardo Henao, Paolo Guarnieri, Steven S. Pullen, Simon Gregory, Joseph Locker, J. Mark Brown, Anna Mae Diehl
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 15, Iss 4, Pp 949-970 (2023)
Background & Aims: Nonalcoholic steatohepatitis (NASH), a leading cause of cirrhosis, strongly associates with the metabolic syndrome, an insulin-resistant proinflammatory state that disrupts energy balance and promotes progressive liver degeneration
Externí odkaz:
https://doaj.org/article/9a1fec7762f04ba181df024b17ce1685
Autor:
Nicholas S. Giroux, Shengli Ding, Micah T. McClain, Thomas W. Burke, Elizabeth Petzold, Hong A. Chung, Grecia O. Rivera, Ergang Wang, Rui Xi, Shree Bose, Tomer Rotstein, Bradly P. Nicholson, Tianyi Chen, Ricardo Henao, Gregory D. Sempowski, Thomas N. Denny, Maria Iglesias De Ussel, Lisa L. Satterwhite, Emily R. Ko, Geoffrey S. Ginsburg, Bryan D. Kraft, Ephraim L. Tsalik, Xiling Shen, Christopher W. Woods
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-3 (2023)
Externí odkaz:
https://doaj.org/article/ae1d581ba7ab42f8b29d4929fb064b34
Autor:
Isaac D. Smith, Theresa M. Coles, Catherine Howe, Robert Overton, Nicoleta Economou‐Zavlanos, Mary J. Solomon, Rong Zhao, Bhargav Adagarla, Jayanth Doss, Ricardo Henao, Megan E. B. Clowse, David L. Leverenz
Publikováno v:
ACR Open Rheumatology, Vol 4, Iss 10, Pp 845-852 (2022)
Objective The purpose of this study was to evaluate a novel scoring system, the Encounter Appropriateness Score for You (EASY), to assess provider perceptions of telehealth appropriateness in rheumatology encounters. Methods The EASY scoring system p
Externí odkaz:
https://doaj.org/article/385d9c2cbe1a4ade9a8c2fdb997398d4
Autor:
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract We consider machine-learning-based lesion identification and malignancy prediction from clinical dermatological images, which can be indistinctly acquired via smartphone or dermoscopy capture. Additionally, we do not assume that images conta
Externí odkaz:
https://doaj.org/article/a689e4fdae3246c392f3188873b83b7b