A comprehensive review on the printing efficiency, precision, and cell viability in 3D bioprinting [0.03%]
三维生物打印的印刷效率、精度及细胞活力综述
Bowen Li,Zhen Wang,Chuanzhen Huang et al.
Bowen Li et al.
Three-dimensional (3D) bioprinting demonstrates significant potential for advancing regenerative medicine through precise fabrication of functional tissue constructs via controlled deposition of cells, biomaterials, and bioactive factors. H...
Technical note: Exploring acoustic emission characteristics from quasistatic compression testing of aged and fresh bovine cortical bone [0.03%]
技术简报：探讨老化和新鲜牛皮质骨准静态压缩试验的声发射特性
McKenna Roan,Nick Hudyma,George G A Pujalte et al.
McKenna Roan et al.
Bone specimens are preserved using various methods, which have been shown to influence their material properties. An unexplored process of assessing the influence of preservation methods is using acoustic emission (AE) monitoring during qua...
Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept [0.03%]
基于智能电动助力自行车的运动分析与心肺评估一体化方案的概念验证
Vianney Poiron,Sébastien Letout,Pierre-Yves Gumery et al.
Vianney Poiron et al.
Studies have shown that riding an electrically assisted bicycle is a suitable form of physical activity for rehabilitation. The rise of connected devices has enabled the development of new wearable technologies for health assessment during ...
Hybrid artificial intelligence approaches and bioimpedance spectroscopy for classifying pancreatic disease [0.03%]
结合人工智能方法和生物阻抗谱分类胰腺疾病
Sergey Filist,Riad Taha Al-Kasasbeh,Tigran Gevorkyan et al.
Sergey Filist et al.
This research develops bioimpedance spectroscopy methods aimed at improving the differential diagnosis of pancreatic diseases. A novel approach for forming descriptors from bioimpedance data is introduced, which involves analyzing four ampl...
Evaluation of vertebrobasilar arterial blood flow during HeartMate3 support via computational fluid dynamics analyses [0.03%]
基于计算流体动力学分析的心室辅助装置Heartmate3对椎基底动脉血流影响的评估研究
Selim Bozkurt
Selim Bozkurt
Continuous Flow Left Ventricular Assist Devices (CF-LVADs) are used to support the failing left ventricle in patients with end-stage heart failure. CF-LVADs unload the left ventricle continuously and generate non-physiological blood flow in...
Comparing fluid dynamics of newborn and adult centrifugal pumps in cardiopulmonary bypass procedures [0.03%]
新生儿与成人离心泵在心肺分流术中的流体动力学比较分析
Silvia Bozzi,Silvia Colombo,Federica Bisconti et al.
Silvia Bozzi et al.
Background: Cardiopulmonary bypass (CPB) plays a crucial role in cardiac surgery, with the pump being a key component affecting both hemolysis and thrombosis. Centrifugal levitating pumps (CP) have demonstrated superiorit...
Comparative Study
Medical engineering & physics. 2025 Nov:145:104422. DOI:10.1016/j.medengphy.2025.104422 2025
Test-retest reliability of non-invasive P2/P1 ratio and time to peak at rest and during isometric handgrip stress [0.03%]
静息和等长握力负荷下非侵入性P2/P1比值及峰值时间测试-重测信度分析
Alinne A Oliveira,Mansueto Gomes-Neto,Alanne Oliveira et al.
Alinne A Oliveira et al.
Purpose: This study aimed to determine the test-retest reliability of the non-invasive P2/P1 ratio, a metric derived from cranial pulsatility waveforms, in healthy young adults under both resting and physiological stress ...
Optimizing nanoparticle design for selective targeting of breast cancer cells [0.03%]
用于选择性靶向乳腺癌细胞的纳米颗粒优化设计
Sarah Iaquinta,Shahram Khazaie,Sylvain Fréour et al.
Sarah Iaquinta et al.
Recent efforts in cancer targeting have focused on nanoparticle (NP) drug delivery, yet the complexity of NP uptake makes experimental studies challenging. To streamline this, numerical models help identify key parameters. This study's mode...
Reducing leads, enhancing wearable practicality: A comparative study of 3-lead vs. 12-lead ECG classification [0.03%]
减少导联数目提高可穿戴性：三导联心电图和十二导联心电图的分类对比研究
Sergio González-Cabeza,Mario Sanz-Guerrero,Luis Piñuel et al.
Sergio González-Cabeza et al.
Inspired by recent advances in clinical research and the growing adoption of wearable ECG devices, this study explores the feasibility of using reduced-lead ECGs for automated detection of heart anomalies using deep learning, providing a mo...
Comparative Study
Medical engineering & physics. 2025 Nov:145:104419. DOI:10.1016/j.medengphy.2025.104419 2025
Graph-enhanced deep learning for ECG arrhythmia detection: An integration of CNN-GNN-BiLSTM approach [0.03%]
基于图增强深度学习的心电图心律失常检测：卷积神经网络-图神经网络-双向长短时记忆网络集成方法
Piyush Mahajan,Amit Kaul
Piyush Mahajan
Early and accurate detection of cardiac arrhythmias is crucial for preventing severe cardiovascular events. This study proposes a CNN-GNN-BiLSTM integrated framework for automated ECG arrhythmia classification, combining spatial, relational...