Results 11 to 20 of about 6,016 (111)

Developing a prediction model for all‐cause mortality risk among patients with type 2 diabetes mellitus in Shanghai, China 中国上海地区建立的2型糖尿病患者全因死亡风险预测模型

Journal of Diabetes, Volume 15, Issue 1, Page 27-35, January 2023., 2023
Highlights This study constructed the first 5‐year all‐cause mortality risk prediction model for patients with type 2 diabetes mellitus in south China. This well‐performing model, using highly accessible predictors collected in routine clinical settings, provides a powerful tool for clinicians to identify high‐risk diabetic patients.
Jiying Qi, Ping He, Huayan Yao, Yanbin Xue, Wen Sun, Ping Lu, Xiaohui Qi, Zizheng Zhang, Renjie Jing, Bin Cui, Guang Ning   +10 more
wiley   +1 more source

Targeting the PI3K/Akt signaling pathway in pancreatic β‐cells to enhance their survival and function: An emerging therapeutic strategy for type 1 diabetes 一种新兴的1型糖尿病治疗策略:靶向胰腺β细胞中的PI3K/Akt信号通路以增强其存活和功能

Journal of Diabetes, Volume 14, Issue 4, Page 247-260, April 2022., 2022
Highlights Phosphoinositide 3‐kinase (PI3K)/Akt signaling is an emerging promising therapeutic target for diabetes. Modulation of the PI3K/Akt signaling pathway, via protein and peptide‐based biologics, parasite‐derived molecules, plant extracts, or through microRNA interactions, will regulate the processes that determine the function of β‐cells and ...
Inah Camaya, Sheila Donnelly, Bronwyn O'Brien   +2 more
wiley   +1 more source

Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism

Evidence-Based Complementary and Alternative Medicine, Volume 2022, Issue 1, 2022., 2022
Traditional clinical named entity recognition methods fail to balance the effectiveness of feature extraction of unstructured text and the complexity of neural network models. We propose a model based on ALBERT and a multihead attention (MHA) mechanism to solve this problem.
Dongmei Li, Jiao Long, Jintao Qu, Xiaoping Zhang, Xuezhong Zhou   +4 more
wiley   +1 more source

Chinese Medical Entity Recognition Model Based on Character and Word Vector Fusion

Scientific Programming, Volume 2021, Issue 1, 2021., 2021
The medical information carried in electronic medical records has high clinical research value, and medical named entity recognition is the key to extracting valuable information from large‐scale medical texts. At present, most of the studies on Chinese medical named entity recognition are based on character vector model or word vector model.
Qinghui Zhang, Lei Hou, Pengtao Lv, Mengya Zhang, Hongwei Yang, Jianping Gou   +5 more
wiley   +1 more source

基于液相芯片筛查与肝癌相关血清自身抗体的研究

Zhongguo shiyan zhenduanxue, 2021
目的筛查与肝癌(HCC)相关的自身抗体并对其诊断肝癌的临床价值进行初步评估。方法制备用于自身抗体多重检测的液相芯片,对40例肝炎、32例肝硬化、48例肝癌及30例健康对照组血清进行检测,比较自身抗体IgG水平,筛选与肝癌相关的自身抗体,绘制ROC曲线评估其肝癌的诊断价值,并分析肝癌相关自身抗体与常见生化指标的相关性。结果肝炎、肝硬化、肝癌组的SSA/Ro、tTG、LC1、PR3、Scl-70、Mi-2、MPO和TIF1-γ自身抗体水平均显著高于正常对照组 ...
肖静, 杨舒, 闻琦, 陈子恩, 陈嘉童, 王徐飞, 陈文莉, 龙飞, 彭涛   +8 more
doaj  

Abstracts

, 2022
Cancer Science, Volume 113, Issue S1, Page 1-1874, February 2022.
wiley   +1 more source

Abstracts of the 79th Annual Meeting of the Japanese Cancer Association; 2020 Oct 1‐3; Hiroshima, Japan as Cancer Science, Supplement 1, Vol 112 (2021)

, 2021
Cancer Science, Volume 112, Issue S1, Page 1-1072, February 2021.
wiley   +1 more source

Comparison of ultrasound with computed tomography and whole‐body diffusion‐weighted MRI in prediction of surgical outcome using ESMO‐ESGO criteria in patients with tubo‐ovarian carcinoma: prospective ISAAC study

Ultrasound in Obstetrics &Gynecology, Volume 67, Issue 2, Page 207-219, February 2026.
ABSTRACT Objective To test the non‐inferiority of extended abdominopelvic ultrasound examination compared with contrast‐enhanced computed tomography (CT) and whole‐body diffusion‐weighted magnetic resonance imaging (WB‐DWI/MRI) in discriminating preoperatively between resectable and non‐resectable disease based on the European Society for Medical ...
D. Fischerova, P. Pinto, J. L. Alcázar Zambrano, J. Vara‐Garcia, V. Chiappa, F. Raspagliesi, D. Franchi, A. V. Urbinati, A. C. Testa, J. Jarkovsky, D. Cibula, F. Moro, Collaborators, F. Frühauf, J. Slama, R. Kocian, S. Alessi, G. Avesani, K. Benesova, A. Burgetova, G. Calareso, L. Lambert, M. Masek, A. Fagotti, C. Panico, P. Pricolo, R. Vigorito   +26 more
wiley   +1 more source

S1P lyase在肝癌中的表达及对其预后的影响

Zhongguo shiyan zhenduanxue, 2020
目的探讨S1P lyase在肝癌中的表达情况,及其对肝癌预后的影响。方法选取桂林医学院附属医院54例肝细胞癌患者,real-time PCR分析S1P lyase在54对肝细胞癌癌组织及癌旁组织中的表达,运用统计学方法探讨S1P lyase表达与肝癌临床病理特征的关系;利用Kaplan-Meier分析S1P lyase对肝癌预后的影响;应用STRING数据库初步探讨神经鞘脂信号通路中可能与S1P lyase相互作用的信号分子。结果 S1P lyase在肝癌组织中的表达明显低于癌旁组织 ...
邱志东, 王雪红, 孙维佳, 金俊飞   +3 more
doaj