Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Shuang Di"'
Autor:
Jeremy Petch, Walter Nelson, Mary Wu, Marzyeh Ghassemi, Alexander Benz, Mehdi Fatemi, Shuang Di, Anthony Carnicelli, Christopher Granger, Robert Giugliano, Hwanhee Hong, Manesh Patel, Lars Wallentin, John Eikelboom, Stuart J. Connolly
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract While novel oral anticoagulants are increasingly used to reduce risk of stroke in patients with atrial fibrillation, vitamin K antagonists such as warfarin continue to be used extensively for stroke prevention across the world. While effecti
Externí odkaz:
https://doaj.org/article/6db51a257d0f457d9853b9379a910044
Autor:
Matteo Di Scipio, Mohammad Khan, Shihong Mao, Michael Chong, Conor Judge, Nazia Pathan, Nicolas Perrot, Walter Nelson, Ricky Lali, Shuang Di, Robert Morton, Jeremy Petch, Guillaume Paré
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Identification of gene-by-environment interactions (GxE) is crucial to understand the interplay of environmental effects on complex traits. However, current methods evaluating GxE on biobank-scale datasets have limitations. We introduce Mons
Externí odkaz:
https://doaj.org/article/e660814544d144efa7aa2178476fa4fc
Autor:
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, Michael McGillion, Laura Rosella, Alistair Johnson, PJ Devereaux, Jeremy Petch
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52880 (2024)
BackgroundSurgical site infections (SSIs) occur frequently and impact patients and health care systems. Remote surveillance of surgical wounds is currently limited by the need for manual assessment by clinicians. Machine learning (ML)–based methods
Externí odkaz:
https://doaj.org/article/46b750eb08874739a93699d90281a228
Autor:
J.D. Schwalm, MD, MSc, Shuang Di, MEd, MSc, Tej Sheth, MD, Madhu K. Natarajan, MD, Erin O’Brien, BA, Tara McCready, PhD, Jeremy Petch, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 1, Pp 21-30 (2022)
Background: Conventional clinical risk scores and diagnostic algorithms are proving to be suboptimal in the prediction of obstructive coronary artery disease, contributing to the low diagnostic yield of invasive angiography. Machine learning could he
Externí odkaz:
https://doaj.org/article/809d161c38944947a07ff6196dc2c6da
Publikováno v:
JMIR Formative Research, Vol 6, Iss 9, p e37838 (2022)
BackgroundHealth coaching is an emerging intervention that has been shown to improve clinical and patient-relevant outcomes for type 2 diabetes. Advances in artificial intelligence may provide an avenue for developing a more personalized, adaptive, a
Externí odkaz:
https://doaj.org/article/6351afe92ad7458ba61162f80db54dd1
Publikováno v:
Dianxin kexue, Vol 37, Pp 52-63 (2021)
IoT terminals have the characteristics of large user base, many manufacturers and numerous scenarios.It is difficult to unify the standard of poor quality and to locate the segment in the routine maintenance process.Aiming at the above phenomenon, a
Externí odkaz:
https://doaj.org/article/77eed35d2e6e44e290739c12a8f8a2c7
Publikováno v:
Journal of Materials Engineering and Performance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c692d800a3299f26992370111bd7d80
https://doi.org/10.1007/s11665-023-08295-5
https://doi.org/10.1007/s11665-023-08295-5
Publikováno v:
Journal of Materials Research and Technology. 18:210-222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45c8889aac3c011f827ccef2f610923f
https://doi.org/10.1016/j.jmrt.2022.02.064
https://doi.org/10.1016/j.jmrt.2022.02.064
Autor:
Peng-Cheng Huan, Xiao-Nan Wang, Qing-Yu Zhang, Hong-Shuang Di, Xia-Ming Chen, Yu Chen, Xia Wei
Publikováno v:
Journal of Materials Research and Technology, Vol 17, Iss, Pp 1831-1841 (2022)
In this paper, the droplet transfer behavior, geometric characteristics of weld bead and formability of CMT MIX + Synchropulse (CSP) wire + arc additively manufactured Inconel 718 alloy under high wire feeding speed are studied. The results show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6582babedca16ffc0f0fe4c10ab4871d
https://doi.org/10.1016/j.jmrt.2022.01.153
https://doi.org/10.1016/j.jmrt.2022.01.153
Autor:
Miao Zhu, Fang Huang, Huize Sun, Kunpeng Liu, Zhen Chen, Baocheng Yu, Haojie Hao, Haizhou Liu, Shuang Ding, Xueyan Zhang, Lishi Liu, Kui Zhang, Jierao Ren, Yi Liu, Haibin Liu, Chao Shan, Wuxiang Guan
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract The various mutations in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pose a substantial challenge in mitigating the viral infectivity. The identification of novel host factors influencing SARS-CoV-2 replication holds potenti
Externí odkaz:
https://doaj.org/article/b62795e4eb444f78b95246bfce8025d2