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of 356
pro vyhledávání: '"Rishi, J P"'
Large Language Models (LLMs) have demonstrated significant potential in clinical applications through prompt engineering, which enables the generation of flexible and diverse clinical predictions. However, they pose challenges in producing prediction
Externí odkaz:
http://arxiv.org/abs/2408.11316
Autor:
Weberpals, Janick, Shaw, Pamela A., Lin, Kueiyu Joshua, Wyss, Richard, Plasek, Joseph M, Zhou, Li, Ngan, Kerry, DeRamus, Thomas, Raman, Sudha R., Hammill, Bradley G., Lee, Hana, Toh, Sengwee, Connolly, John G., Dandreo, Kimberly J., Tian, Fang, Liu, Wei, Li, Jie, Hernández-Muñoz, José J., Schneeweiss, Sebastian, Desai, Rishi J.
Multiple imputation (MI) models can be improved by including auxiliary covariates (AC), but their performance in high-dimensional data is not well understood. We aimed to develop and compare high-dimensional MI (HDMI) approaches using structured and
Externí odkaz:
http://arxiv.org/abs/2405.10925
Autor:
Kening Lang, Tianyi Liu, Daniel J. Padilla, Marriana Nelson, Christopher W. Landorf, Rishi J. Patel, Mark L. Ballentine, Alan J. Kennedy, Wu-Sheng Shih, Adam Scotch, Jiadeng Zhu
Publikováno v:
Advanced Sensor and Energy Materials, Vol 3, Iss 2, Pp 100093- (2024)
The advancement of gas sensor technology over the past decades has led to remarkable progress and achievements in pollution control and environmental protection. Compared with other sensing materials, electrospun nanofibers have attracted significant
Externí odkaz:
https://doaj.org/article/1ba2373218fd44338ee796ff8eb1a842
Publikováno v:
ACR Open Rheumatology, Vol 5, Iss 11, Pp 571-580 (2023)
Objective The objective of this study was to compare the clinical effectiveness of biologic disease‐modifying antirheumatic drugs (bDMARDs) or Janus kinase inhibitors (JAKi) among seropositive versus seronegative patients with rheumatoid arthritis
Externí odkaz:
https://doaj.org/article/a17bc46dfef04db29d383af8e6afcd4b
Akademický článek
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Autor:
Tianyi Liu, Rebekah Baggett, Kening Lang, Daniel J. Padilla, Rishi J. Patel, Jacob Berry, Rebecca L. Eldredge, Christopher J. Robledo, Weston Bowen, Christopher W. Landorf, Vijaya Kayastha, Marriana Nelson, Jiadeng Zhu
Publikováno v:
Carbon Trends, Vol 12, Iss , Pp 100291- (2023)
The demand for CO2 detection steadily increases mainly due to the greenhouse effect caused by CO2 emission, which significantly impacts the environment. Among different promising candidates, carbon-based (i.e., graphene, carbon nanotubes, carbon nano
Externí odkaz:
https://doaj.org/article/e7890bccc996478cbb1e4e6c059484dd
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 14 (2023)
Externí odkaz:
https://doaj.org/article/84463c50ddee4cdeb895cdfb9016b877
Akademický článek
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Autor:
Rishi J. Desai, Michael E. Matheny, Kevin Johnson, Keith Marsolo, Lesley H. Curtis, Jennifer C. Nelson, Patrick J. Heagerty, Judith Maro, Jeffery Brown, Sengwee Toh, Michael Nguyen, Robert Ball, Gerald Dal Pan, Shirley V. Wang, Joshua J. Gagne, Sebastian Schneeweiss
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-6 (2021)
Abstract The Sentinel System is a major component of the United States Food and Drug Administration’s (FDA) approach to active medical product safety surveillance. While Sentinel has historically relied on large quantities of health insurance claim
Externí odkaz:
https://doaj.org/article/1471878458d94d9d9c234d5687fe3bb6
Akademický článek
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