Zobrazeno 1 - 10
of 476
pro vyhledávání: '"A I, Su"'
Publikováno v:
Western Journal of Emergency Medicine, Vol 25, Iss 6, Pp 894-902 (2024)
Background: Extracorporeal cardiopulmonary resuscitation (ECPR) improves the prognosis of in-hospital cardiac arrest (IHCA). The six-factor RESCUE-IHCA score (resuscitation using ECPR during IHCA) was developed to predict outcomes of post-IHCA ECPR-t
Externí odkaz:
https://doaj.org/article/31035fb56fe142699c563e0d12038185
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Delivering synthetic protein-coding RNA bypassing the DNA stage for ectopic protein functioning is a novel therapeutic strategy. Joining the linear RNA head-to-tail covalently could be a state-of-the-art strategy for functioning longer. Here
Externí odkaz:
https://doaj.org/article/c40613623ffb452fadd6bf24e049cbe8
Autor:
Chih‐Hung Wang, Joyce Tay, Cheng‐Yi Wu, Meng‐Che Wu, Pei‐I Su, Yao‐De Fang, Chun‐Yen Huang, Ming‐Tai Cheng, Tsung‐Chien Lu, Chu‐Lin Tsai, Chien‐Hua Huang, Wen‐Jone Chen
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 20 (2024)
Background The aim of this study was to validate and compare the performance of statistical (Utstein‐Based Return of Spontaneous Circulation and Shockable Rhythm–Witness–Age–pH) and machine learning–based (Prehospital Return of Spontaneous
Externí odkaz:
https://doaj.org/article/6da0a3a4f5894909a3beefb0b739ec73
Autor:
Pei-I Su, Min-Shan Tsai, Wei-Ting Chen, Chih-Hung Wang, Wei-Tien Chang, Matthew Huei-Ming Ma, Wen-Jone Chen, Chien-Hua Huang, Yih-Sharng Chen
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-9 (2024)
Abstract Background Current guidelines on extracorporeal cardiopulmonary resuscitation (ECPR) recommend careful patient selection, but precise criteria are lacking. Arterial carbon dioxide tension (PaCO2) has prognostic value in out-of-hospital cardi
Externí odkaz:
https://doaj.org/article/28a566bc1ffd4fe5a94380ce9316e289
Autor:
Adriana Carolina Gonzalez-Cavazos, Anna Tanska, Michael Mayers, Denise Carvalho-Silva, Brindha Sridharan, Patrick A. Rewers, Umasri Sankarlal, Lakshmanan Jagannathan, Andrew I. Su
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Abstract Computational drug repositioning methods have emerged as an attractive and effective solution to find new candidates for existing therapies, reducing the time and cost of drug development. Repositioning methods based on biomedical knowledge
Externí odkaz:
https://doaj.org/article/122a43c32edb46b09173804ebd184b1f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract With recent proposal suggesting the multifaceted nature of impulsivity, researchers have been intrigued by the question of whether the impulsive behaviour measured in the traditionally psychological paradigms is unitary. One such paradigm, t
Externí odkaz:
https://doaj.org/article/040059c3353f484397e4663521fe6228
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-9 (2023)
Abstract In the ongoing effort to discover treatments for Alzheimer’s disease (AD), there has been considerable focus on investigating the use of repurposed drug candidates. Mining of electronic health record data has the potential to identify nove
Externí odkaz:
https://doaj.org/article/1d85217f096a489bb4afe49155575f09
Autor:
Marco A. Cano, Ginger Tsueng, Xinghua Zhou, Jiwen Xin, Laura D. Hughes, Julia L. Mullen, Andrew I. Su, Chunlei Wu
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-15 (2023)
Abstract Background Biomedical researchers are strongly encouraged to make their research outputs more Findable, Accessible, Interoperable, and Reusable (FAIR). While many biomedical research outputs are more readily accessible through open data effo
Externí odkaz:
https://doaj.org/article/b950b6ac38e149a490a235287300ad57
Autor:
Laura D. Hughes, Ginger Tsueng, Jack DiGiovanna, Thomas D. Horvath, Luke V. Rasmussen, Tor C. Savidge, Thomas Stoeger, Serdar Turkarslan, Qinglong Wu, Chunlei Wu, Andrew I. Su, Lars Pache, the NIAID Systems Biology Data Dissemination Working Group
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Externí odkaz:
https://doaj.org/article/c65ba8cb83f0451b9d283f3f55ebeb19
Autor:
Ginger Tsueng, Marco A. Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache, Luke V. Rasmussen, Tor C. Savidge, Justin Starren, Qinglong Wu, Jiwen Xin, Michael R. Yeaman, Xinghua Zhou, Andrew I. Su, Chunlei Wu, Liliana Brown, Reed S. Shabman, Laura D. Hughes, the NIAID Systems Biology Data Dissemination Working Group
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract Biomedical datasets are increasing in size, stored in many repositories, and face challenges in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of infectious disease researchers from 15 Centers, we aim t
Externí odkaz:
https://doaj.org/article/9a98c238656940ee8cc5844ae1782732