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...
Investigating the association between osteoporosis and acute myocardial infarction using Mendelian randomisation and bioinformatics [0.03%]
使用孟德尔随机化和生物信息学研究骨质疏松与急性心肌梗死的关联性
Bin Zhou,Shaoqiang Chai,Jiaxing Chen et al.
Bin Zhou et al.
Background: Osteoporosis and acute myocardial infarction (AMI) are major health challenges in the aging population. Osteoporosis increases bone fragility, while AMI, often due to atherosclerosis, causes myocardial ischemia and inflammation....
Adna Softić,Faruk Bećirović,Ilma Mujković et al.
Adna Softić et al.
BackgroundThe comet assay is a sensitive and widely used technique for assessing DNA damage at the single-cell level. Despite its advantages, traditional manual scoring methods remain time-consuming, subjective and limited in scalability, p...
Gait adaptation in adults with intellectual disability with and without Down syndrome: A Kinect-based neural network approach [0.03%]
基于神经网络的关于唐氏综合征和非唐氏综合征智力障碍成人步态适应性的Kinect研究
Mehmet Uçar,Fatih Mirze,Emin Ağrali
Mehmet Uçar
BackgroundRecognizing that walking is a critical marker of independence, fall risk, and overall health in adults with intellectual disability (ID) and that comparative evidence by Down syndrome (DS) status remains limited, this study aimed ...