Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Christopher C. Lamb"'
Autor:
Brett Ragnesola, Daniel Jin, Christopher C. Lamb, Beth H. Shaz, Christopher D. Hillyer, Larry L. Luchsinger
Publikováno v:
BMC Research Notes, Vol 13, Iss 1, Pp 1-7 (2020)
Abstract Objective COVID19 has caused a global and ongoing pandemic. The need for population seroconversion data is apparent to monitor and respond to the pandemic. Using a lateral flow assay (LFA) testing platform, the seropositivity in 63 New York
Externí odkaz:
https://doaj.org/article/3f9db0dcba6945eabecb513a779e73b1
Publikováno v:
LymphoSign Journal. 8:55-63
Background: Coronavirus disease 2019 (Covid-19) remains a pandemic with multiple challenges to confirm patient infectivity: lack of sufficient tests, accurate results, validated quality, and timeliness of results. We hypothesize that a rapid 15-minut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72bea27b85fa73618cbef2dd1ffd0de7
https://doi.org/10.14785/lymphosign-2021-0017
https://doi.org/10.14785/lymphosign-2021-0017
Autor:
Yunmei Wang, Christopher C. Lamb
Publikováno v:
Patient Education and Counseling. 103:2280-2289
Objective Shared decision making (SDM) is recommended to improve healthcare quality. Physicians who use a rational decision-making style and patient-centric approach are more likely to incorporate SDM into clinical practice. This paper explores how c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0f6fa67b3456379f5a1876195cd298
https://doi.org/10.1016/j.pec.2020.05.021
https://doi.org/10.1016/j.pec.2020.05.021
Publikováno v:
LymphoSign Journal. 7:104-108
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic. The application of point of care serological testing can help determine past infection and assist healthcare workers assess patient risk. Method: A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e236102cbbb635668e7ef85365b6036d
https://doi.org/10.14785/lymphosign-2020-0007
https://doi.org/10.14785/lymphosign-2020-0007
Autor:
Fadi Haddad, Marion Carroll, Jordan Moncrieffe, Christopher C. Lamb, Christopher D. Owens, Alfredo Lopez-Yunez
Publikováno v:
Healthcare
Volume 9
Issue 9
Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes ISBN: 9789392117381
Healthcare, Vol 9, Iss 1124, p 1124 (2021)
Volume 9
Issue 9
Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes ISBN: 9789392117381
Healthcare, Vol 9, Iss 1124, p 1124 (2021)
Background: COVID-19 antibody testing has been shown to be predictive of prior COVID-19 infection and an effective testing tool. The CLUNGENE® SARS-COV-2 VIRUS (COVID-19) IgG/IgM Rapid Test Cassette was evaluated for its utility to aide healthcare p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42e09cad3652292017cbaea883733a09
Publikováno v:
Journal of Evaluation in Clinical Practice
Overall health care spending in the United States is equivalent to more than 15% of GDP, yet outcomes rank below the top 25 in most quality categories when compared with other Organization for Economic Cooperation and Development (OECD) countries. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd20eca78df2e510033810f0c25cafbf
https://doi.org/10.1111/jep.13162
https://doi.org/10.1111/jep.13162
Publikováno v:
Haemophilia
Introduction Patient–physician shared decision‐making (SDM) has become increasingly seen as having a positive effect on management of chronic diseases. However, little is known of the factors that encourage SDM or how effective it may be at impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb6e3ec2c7203fae319ef4f23b051d76
https://doi.org/10.1111/hae.13766
https://doi.org/10.1111/hae.13766
Publikováno v:
IEEE Software
IEEE Software, In press, ⟨10.1109/MS.2021.3073045⟩
IEEE Software, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/MS.2021.3073045⟩
IEEE Software, In press, ⟨10.1109/MS.2021.3073045⟩
IEEE Software, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/MS.2021.3073045⟩
Although it is possible to increase confidence in Free and Open Source Software (FOSS) by reviewing its source code, trusting code is not the same as trusting its executable counterparts. These are typically built and distributed by third-party vendo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75f827c40bcb5f520b7baa87ffdd8075
https://hal.science/hal-03196519
https://hal.science/hal-03196519
Autor:
W. Philip Kegelmeyer, Joe Ingram, Christopher C. Lamb, Armida J. Carbajal, Ramyaa Ramyaa, Eva Domschot, Michael R. Smith, Nicholas T. Johnson, Stephen J. Verzi, Bridget I. Haus
Publikováno v:
AISec@CCS
Machine learning (ML) techniques are being used to detect increasing amounts of malware and variants. Despite successful applications of ML, we hypothesize that the full potential of ML is not realized in malware analysis (MA) due to a semantic gap b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc6eaafee9b6bc9af3bb80d4a792d584
https://doi.org/10.1145/3411508.3421373
https://doi.org/10.1145/3411508.3421373
Autor:
Christopher C. Lamb
Publikováno v:
Journal of Commercial Biotechnology. 25
In response to the Coronavirus Disease-2019 (COVID-19) pandemic, the U.S. Food and Drug Administration (FDA) used its emergency authority through Emergency Use Authorizations (EUAs) to make COVID-19 in vitro diagnostic tests widely available to both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71bf400cdc4ca65d9553046b34f8f42c
https://doi.org/10.5912/jcb944
https://doi.org/10.5912/jcb944