Zobrazeno 1 - 10
of 1 596
pro vyhledávání: '"He Ren"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decision-making. The study
Externí odkaz:
https://doaj.org/article/42cc90cd94f14e3a86b04483450ceb8f
Autor:
Xiaoyan Gao, He Ren, Zhengrong Zhang, Shuai Cao, Bo Zhang, Qiang Sun, Gerry Melino, Hongyan Huang
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Background The presence of mesenchymal stem cells has been confirmed in some solid tumors where they serve as important components of the tumor microenvironment; however, their role in cancer has not been fully elucidated. The aim of this st
Externí odkaz:
https://doaj.org/article/98a4585e8362423c815723e728a33895
Autor:
Shan Liu, Xudong Li, Ying Zhang, Yuhan Deng, Zehao Li, Yunan Zhu, Xue Li, Yuefeng Shang, Guang Yang, Xiaolu Zhan, Yingpu Li, He Ren
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33219- (2024)
Background: Breast cancer is the most widespread malignant tumor worldwide. Single-cell sequencing technology offers novel insights and methods to understand the onset, progression, and treatment of tumors. Nevertheless, there is currently an absence
Externí odkaz:
https://doaj.org/article/e399e3047a2a40228af3ba58f97f7fe8
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33061- (2024)
Transcatheter aortic valve implantation (TAVI) was originally devised as a treatment for patients with aortic stenosis (AS). It has since emerged as a beneficial alternative to surgical aortic valve replacement (SAVR), extending its reach to a broade
Externí odkaz:
https://doaj.org/article/d129342eaac44eba8f94fbc2c7b949b9
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 174, Iss , Pp 116545- (2024)
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide. Others and our studies have shown that mechanical stresses (forces) including shear stress and cyclic stretch, occur in various pathological conditions, play significant rol
Externí odkaz:
https://doaj.org/article/c89707f0ba594afea2ce56ca0b881a1d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Temperature as an important indicator of climate change, accurate temperature prediction has important guidance and application value for agricultural production, energy management and disaster warning. Based on the advantages of CEEMDAN mod
Externí odkaz:
https://doaj.org/article/eecdfdfc381b4c7f97274b9286d267cb
Publikováno v:
Journal of Pancreatology, Vol 6, Iss 4, Pp 185-195 (2023)
Pancreatic ductal adenocarcinoma (PDAC) is the prototypical aggressive cancer that develops in nutrient-deficient and hypoxic microenvironment. PDAC overcomes these restrictions by employing unconventional tactics for the procurement and usage of fue
Externí odkaz:
https://doaj.org/article/33c54af56912422ba7c28d5763afae59
Publikováno v:
Case Studies in Thermal Engineering, Vol 55, Iss , Pp 104108- (2024)
In this article, a fault diagnosis method is presented for identifying multi-point grounding faults in transformer cores. Based on the finite element method (FEM), the method aims to achieve non-invasive localization of these faults, thereby minimizi
Externí odkaz:
https://doaj.org/article/34a1868b49fb46b58398774dc01f9215
Autor:
Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang, Chen Li
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Objectives This study intends to build an artificial intelligence model for obstetric cesarean section surgery to evaluate the intraoperative blood transfusion volume before operation, and compare the model prediction results with the actual
Externí odkaz:
https://doaj.org/article/eceb9671d75047c1b84651094d7e7e84
Autor:
Chao Chen, Qiuying Han, He Ren, Siyi Wu, Yangyang Li, Jiandong Guo, Xinghai Li, Xiang Liu, Chengzhi Li, Yunfei Tian
Publikováno v:
Cancer Medicine, Vol 12, Iss 17, Pp 17529-17540 (2023)
Abstract Purpose To develop a deep learning radiomics of multiparametric magnetic resonance imaging (DLRMM)‐based model that incorporates preoperative and postoperative signatures for prediction of local tumor progression (LTP) after thermal ablati
Externí odkaz:
https://doaj.org/article/2888542a86cd4e81af3ca67ffe26432f