Enhancing security and efficiency in healthcare cloud computing with blockchain integration and LZW compression: The BICCM framework [0.03%]
基于区块链集成和LZW压缩的医疗云计算安全高效框架（BICCM）
Fareed Ullah,Zia Uddin,Muhammad Sardaraz et al.
Fareed Ullah et al.
Modern healthcare system produces large amount of sensitive clinical data, but no existing framework simultaneously addresses and satisfy rigorous security guarantees, storage efficiency and the throughput demand of clinical operations/tran...
Enhancing postpartum care through it-enabled patient-centered service design: A systems theory perspective [0.03%]
基于信息科技的以病人需求为中心的设计理论如何改善产后护理：一个系统理论的视角
Chih-Lung Hung,Te-Min Chang,Pei-Chen Huang et al.
Chih-Lung Hung et al.
Feasibility study of early pressure injury detection using single-chamber and dual-cavity optical sensor [0.03%]
基于单腔和双腔光学传感器的早期压力性损伤检测的可行性研究
En Chuang,Shao-Hung Lu,Wen-Chi Lin et al.
En Chuang et al.
ObjectiveTo develop and evaluate a single-chamber dual-channel optical probe leveraging near-infrared spectroscopy (NIRS) for the objective assessment of pressure-modulated tissue response, with emphasis on subcutaneous microvascular-relate...
A preliminary analysis of relationship between dual-task gait and age-related cognitive ability using neural network models [0.03%]
基于神经网络模型的双任务步态与年龄相关认知能力关系的初步分析
Yuying Zhang,Jingying Xu,Afsoun Nicholas et al.
Yuying Zhang et al.
BackgroundAging causes declines in cognitive and motor functions, often manifested in altered gait. Dual-task gait is a sensitive marker for early functional changes. This study investigated whether neural network (NN) models can differenti...
Tinybionet: A lightweight time-frequency network for biomedical signal classification on edge devices [0.03%]
轻量级时频网络：一种边缘设备上的生物医学信号分类方法
Sandra Stankovic,Stevica Cvetkovic,Sasa V Nikolic
Sandra Stankovic
Real-time analysis of biomedical time-series on edge devices faces significant challenges due to signal non-stationarity, environmental noise, and the strict computational limitations of embedded hardware. While deep learning offers superio...
Association of infusion and syringe pump ownership with hospital functions in facilities employing clinical engineers [0.03%]
临床工程师聘用医疗机构内输液和注射泵拥有量与医院功能的关系
Hirohito Imada,Kento Watanabe,Ai Oishi et al.
Hirohito Imada et al.
ObjectiveInfusion and syringe pumps are essential for safe and continuous medication administration, but quantitative indicators for their allocation across hospitals remain unclear. This study examined whether pump ownership in hospitals e...
In silico evaluation of novel metabolites from Tricholoma pardinum: Insights into drug-likeness, toxicity and target interactions via molecular docking and dynamics [0.03%]
基于Tricholoma pardinum新型代谢物的体内评价：通过分子对接和动力学研究药物样性、毒性及靶点相互作用的新见解
Abdalla Ali Amin,Hawraz Ibrahim M Amin,Ali Rasw Hamad et al.
Abdalla Ali Amin et al.
Natural products from fungi are a significant source for drug discovery. This study investigates six previously uncharacterized metabolites isolated from the poisonous mushroom Tricholoma pardinum using an integrated in silico approach to e...
The role of machine learning in early detection, accurate diagnosis, and timely treatment of diseases [0.03%]
机器学习在疾病早期检测、准确诊断和及时治疗中的作用
Abhishek Shrivastava,Abhijit Tripathi,Jivanshi Rajput
Abhishek Shrivastava
The contemporary healthcare landscape is experiencing a significant transformation driven by the rapid growth of digital health data and advancements in computational technologies. At the center of this evolution is Machine Learning (ML), a...
A study of the mechanism of ZhenWu Tang in the treatment of hepatocellular carcinoma based on network pharmacology and molecular docking [0.03%]
基于网络药理学和分子对接的真武汤治疗肝癌机制研究
Xiangyu Zhang,Dong Wang,Rui Gao et al.
Xiangyu Zhang et al.
BackgroundAs an integral part of the comprehensive treatment strategy for hepatocellular carcinoma (HCC) in China, Traditional Chinese Medicine (TCM) offers unique therapeutic advantages. This study aims to elucidate the anti-HCC mechanism ...
Mapping the knowledge landscape and research trends of artificial intelligence in breast cancer diagnosis and treatment: A bibliometric analysis [0.03%]
基于文献计量的乳腺癌诊断与治疗人工智能知识领域和研究热点映射
Cong Wang,Ke Hong,Yu Ying et al.
Cong Wang et al.
BackgroundArtificial intelligence (AI) has generated rapidly growing research in breast cancer diagnosis and treatment, yet its intellectual structure, collaboration patterns, and thematic evolution remain unmapped.ObjectiveTo analyze the g...