An open-access plug-in program for 3D modelling distinct material properties of cortical and trabecular bone [0.03%]
一种开放获取的插件程序用于构建具有不同材料属性的皮质骨和小梁骨的三维模型
Gregory R Roytman,Matan Cutler,Kenneth Milligan et al.
Gregory R Roytman et al.
Background: Finite element modelling the material behavior of bone in-silico is a powerful tool to predict the best suited surgical treatment for individual patients. ...
Christopher T Tsui,Preet Lal,Katelyn V R Fox et al.
Christopher T Tsui et al.
Neural interface devices interact with the central nervous system (CNS) to substitute for some sort of functional deficit and improve quality of life for persons with disabilities. Design of safe, biocompatible neural interface devices is a...
Biomechanical validation of additively manufactured artificial femoral bones [0.03%]
用于仿生制备人工股骨的生物力学验证
F Metzner,C Neupetsch,A Carabello et al.
F Metzner et al.
Replicating the mechanical behavior of human bones, especially cancellous bone tissue, is challenging. Typically, conventional bone models primarily consist of polyurethane foam surrounded by a solid shell. Although nearly isotropic foam co...
Gold-based nanoplatform for a rapid lateral flow immunochromatographic test assay for gluten detection [0.03%]
一种用于快速检测 Gluten 的金基纳米平台免疫层析检测试剂盒
Arefe Momeni,Mohammad Rostami-Nejad,Reza Salarian et al.
Arefe Momeni et al.
Background: Gluten, a food allergen, is available in foods derived from wheat, rye and barley. It damages the small intestine and causes celiac disease. Herein, we designed a rapid immunochromatographic lateral flow test ...
Prediction of glioma-subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors [0.03%]
比较DL分类器在脑胶质瘤亚型预测中的性能：基于边界框面积与基于注释肿瘤的性能对比分析方法学研究
Muhaddisa Barat Ali,Irene Yu-Hua Gu,Alice Lidemar et al.
Muhaddisa Barat Ali et al.
Background: For brain tumors, identifying the molecular subtypes from magnetic resonance imaging (MRI) is desirable, but remains a challenging task. Recent machine learning and deep learning (DL) approaches may help the c...
The size of via holes influence the amplitude and selectivity of neural signals in Micro-ECoG arrays [0.03%]
通孔尺寸影响微米级ECoG阵列的神经信号幅度和选择性
Manan Sethia,Mesut Sahin
Manan Sethia
Background: Electrocorticography (ECoG) arrays are commonly used to record the brain activity both in animal and human subjects. There is a lack of guidelines in the literature as to how the array geometry, particularly t...
Efficacy and safety testing of a COVID-19 era emergency ventilator in a healthy rabbit lung model [0.03%]
一种用于治疗新冠肺炎患者的紧急呼吸机在健康兔肺模型中的有效性和安全性测试
Luke A White,Benjamin S Maxey,Giovanni F Solitro et al.
Luke A White et al.
Background: The COVID-19 pandemic revealed a substantial and unmet need for low-cost, easily accessible mechanical ventilation strategies for use in medical resource-challenged areas. Internationally, several groups devel...
Development of computational models for microtesla-level magnetic brain scanning: a novel avenue for device development [0.03%]
开发微特斯拉水平脑磁扫描的计算模型：一种新型设备研发途径
Shane Shahrestani,Gabriel Zada,Yu-Chong Tai
Shane Shahrestani
Background: Detection of locally increased blood concentration and perfusion is critical for assessment of functional cortical activity as well as diagnosis of conditions such as intracerebral hemorrhage (ICH). Current pa...
Training muscle activation patterns of the lower paretic extremity using directional exertion improves mobility in persons with hemiparesis: a pilot study [0.03%]
使用方向施力训练下肢瘫痪肌肉的激活模式可改善偏瘫人士的行动能力：初步研究
Daniel Bourbonnais,René Pelletier,Joëlle Azar et al.
Daniel Bourbonnais et al.
Background: Controlled static exertion performed in the sagittal plane on a transducer attached to the foot requires coordinated moments of force of the lower extremity. Some exertions and plantarflexion recruit muscular ...
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures [0.03%]
基于预训练深度神经网络架构的单细胞常规巴氏涂片图像分类方法
Mohammed Aliy Mohammed,Fetulhak Abdurahman,Yodit Abebe Ayalew
Mohammed Aliy Mohammed
Background: Automating cytology-based cervical cancer screening could alleviate the shortage of skilled pathologists in developing countries. Up until now, computer vision experts have attempted numerous semi and fully au...