Zobrazeno 1 - 10
of 24 017
pro vyhledávání: '"Predict"'
Autor:
Yuanyou Li, Haoxiang Wang, Zhiyong Liu, Ziang Deng, Keru Huang, Gaowei Li, Yi Liu, Liangxue Zhou
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Traumatic brain injury (TBI) represents a common and severe medical condition necessitating prompt risk stratification to enhance patient outcomes. Although substantial research has been conducted on the prognostic utility of various biomark
Externí odkaz:
https://doaj.org/article/bcf51567791e4ddeb1e7c112e1084c64
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Background Mitotic processes play a pivotal role in tumor progression and immune responses. However, the correlation between mitosis-related genes, clinical outcomes, and the tumor microenvironment (TME) in colon cancer remains unclear. This
Externí odkaz:
https://doaj.org/article/96b43b32c6eb4d5d81b7dd7ddff78248
Publikováno v:
Education Inquiry, Pp 1-31 (2024)
Physics educators must possess a strong foundation in content knowledge to effectively promote scientific inquiry-based learning in line with the national curriculum goals. However, factual, conceptual, and procedural knowledge gaps can impede meanin
Externí odkaz:
https://doaj.org/article/42535fe6bea34fd0941e1f564edfee84
Autor:
Yan Yao, Bing Li, Jia Xue, Zhuo Chen, Xuemin Cai, Jiancheng Han, Xinyuan Zhou, Wenzhi Luo, Zhenhua Lu, Deyong Long, Zhihui Zhang
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 3200-3209 (2024)
Abstract Aims To retrospectively compare the long‐term outcomes following atrial fibrillation (AF) ablation between heart failure (HF) with preserved ejection fraction (EF) (HFpEF) and reduced/mildly reduced EF (HFr‐mrEF) patients, and to identif
Externí odkaz:
https://doaj.org/article/3c10f05a93f24340800f743165e6549d
Autor:
Xiao-You Liu, Run-Tao Feng, Wen-Xiang Feng, Wei-Wei Jiang, Jian-An Chen, Guang-Li Zhong, Chao-Wei Chen, Zi-Jian Li, Jia-Dong Zeng, Ding Liu, Song Zhou, Jian-Min Hu, Guo-Rong Liao, Jun Liao, Ze-Feng Guo, Yu-Zhu Li, Si-Qiang Yang, Shi-Chao Li, Hua Chen, Ying Guo, Min Li, Li-Pei Fan, Hong-Yan Yan, Jian-Rong Chen, Liu-Yang Li, Yong-Guang Liu
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes o
Externí odkaz:
https://doaj.org/article/525fb93d9819421990dcce426aaed6f6
Publikováno v:
Cancer Management and Research, Vol Volume 16, Pp 1253-1265 (2024)
Meixin Zhen,1,* Haibing Chen,1,* Qing Lu,1 Hui Li,2 Huang Yan,2 Ling Wang2 1Xiangya College of Nursing, Central South University, Changsha, Hunan, 410013, People’s Republic of China; 2Nursing Department, The Third Xiangya Hospital, Central
Externí odkaz:
https://doaj.org/article/c6c2b2c4f38d4592b8795c11e5c9ca9b
Autor:
Junchao Zhang, Xiaxia Weng
Publikováno v:
Gut and Liver, Vol 18, Iss 5, Pp 915-923 (2024)
Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chi
Externí odkaz:
https://doaj.org/article/fed439482e1d4ef8bfc0fb1619dae799
Autor:
Byford, Andy1 (AUTHOR)
Publikováno v:
British Journal for the History of Science. Mar2024, Vol. 57 Issue 1, p155-157. 3p.
Publikováno v:
Digital Biomarkers, Vol 8, Iss 1, Pp 149-158 (2024)
Background: Wearable sensors have been heralded as revolutionary tools for healthcare. However, while data are easily acquired from sensors, users still grapple with questions about how sensors can meaningfully inform everyday clinical practice and r
Externí odkaz:
https://doaj.org/article/dff7746d00ff4e74a9a207990978c5a4
Autor:
Zheng Liu, Rui Yin, Wenjuan Ma, Zhijun Li, Yijun Guo, Haixiao Wu, Yile Lin, Vladimir P. Chekhonin, Karl Peltzer, Huiyang Li, Min Mao, Xiqi Jian, Chao Zhang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Radiomics provided opportunities to quantify the tumor phenotype non-invasively. This study extracted contrast-enhanced computed tomography (CECT) radiomic signatures and evaluated clinical features of bone metastasis in non-small
Externí odkaz:
https://doaj.org/article/edec667cabd6472d9ef14ccd74b560ad