Selective multimodal deep learning for reliable breast cancer subtype classification from histopathology and genomic data [0.03%]
基于组织病理学和基因组数据的可靠乳腺癌亚型分类的选择性多模态深度学习方法
Hezil Nabil,Ahmed Bouridane,Rifat Hamoudi et al.
Hezil Nabil et al.
Accurate classification of breast cancer subtypes is critical for personalized treatment
planning and prognostic assessment. While histopathology and RNA-seq data each provide
complementary insights into tumor biology, their integra...
The effect of bone remodelling on bone ingrowth into a novel porous hip implant-a finite element study integrated with a mechanoregulatory algorithm [0.03%]
基于机械调控算法的新型多孔髋关节植入物骨长入的骨重建影响-有限元研究
Tanmoy Loha,Bidyut Pal
Tanmoy Loha
Peri-prosthetic bone remodelling and bone ingrowth into porous implants are two different evolutionary processes that occur simultaneously post-implantation. Local mechanical stimuli generated in the implant-bone structure play a major role...
Effect of extramedullary fixation under different biomechanical modes on osseointegration of short-stem intramedullary implants: an experimental study [0.03%]
不同生物力学模式下髓外固定对短茎髓内假体骨整合的影响：实验研究
Hairui Liu,Chuanlei Ji,Jian Fan et al.
Hairui Liu et al.
The reconstruction of extreme long bone defects after malignant tumor resection remains challenging. Short-stem intramedullary implants offer a solution but are often limited by mechanical instability from suboptimal extramedullary fixation...
Knee joint distraction in tibiofemoral osteoarthritis: evaluating the impact of bone pins and springs on the mechanical performance of the KneeReviver device [0.03%]
胫骨关节间隙增大治疗膝骨关节炎：骨钉和拉伸装置对KneeReviver效果的影响
Famke Janssen,Thom Bitter,Nico Verdonschot et al.
Famke Janssen et al.
Knee joint distraction is a joint-preserving treatment for younger patients (45-65 years) with tibiofemoral osteoarthritis, aiming to unload cartilage by temporarily separating the femur and tibia. The KneeReviver (KR) is a distraction devi...
Multi-task interactive feature transfer network for dual-energy-like chest radiography image synthesis using CT data [0.03%]
基于CT数据的类似双能量胸部X射线图像合成的多任务交互特征传输网络
Wenting Xu,Duhee Jeon,Younghwan Lim et al.
Wenting Xu et al.
Accurate synthesis of bone and bone-suppression (B-S) images from chest radiographs is crucial for enhancing diagnostic precision in detecting lung abnormalities. Most deep learning methods, which typically generate only one type of image, ...
Noninvasive blood glucose level estimation using bioimpedance spectroscopy and machine learning: an integrated optimization approach [0.03%]
基于生物阻抗谱和机器学习的无创血糖水平估计：一种集成优化方法
Zhongwei Lu,Tian Zhou,Cong Hu et al.
Zhongwei Lu et al.
Noninvasive blood glucose detection can avoid pricking fingers to collect blood to obtain blood glucose level (BGL), which can greatly alleviate the pain of diabetic patients. In this paper, a new noninvasive blood glucose detection method ...
Addressing the performance challenges of fully biodegradable cardiac occluders: a review on material advances and 4D-printing fabrication strategies [0.03%]
完全可降解心脏封闭器的性能挑战及材料和4D打印制造策略的研究进展综述
Hai Ding,Lihua Zhao,Xiaofeng Wang et al.
Hai Ding et al.
The development of fully biodegradable cardiac occluders presents unique performance challenges, particularly requiring a balance between initial mechanical strength, appropriate degradation kinetics, and enhanced biocompatibility. Although...
Automatic physical activity recognition using multichannel, fusion CNN-BiGRU- Bahdanau attention networks [0.03%]
基于融合CNN-BiGRU-Bahdanau注意力网络的自动活动识别方法研究
Deepjyoti Kalita,Abhipsha Dash,Hrishita Sharma et al.
Deepjyoti Kalita et al.
Precisely recognizing and classifying physical activity in the everyday routines of patients with chronic illnesses can facilitate the implementation of precision medicine in the treatment of conditions like diabetes. Human activity recogni...
Comparison of mechanical test methods for determining prosthetic foot quasi-stiffness [0.03%]
假肢足准刚度测定的力学测试方法比较研究
Felix Starker,Christophe Guy Lecomte,Andrew Hansen et al.
Felix Starker et al.
Prosthetic foot quasi-stiffness (QS) and ankle joint QS (AJQS) are factors impacting user biomechanics and comfort. While QS is typically determined by machine-based test methods, AJQS is usually derived from user testing. Despite the use o...
Comparative Study
Medical engineering & physics. 2026 Jan 30;147(3). DOI:10.1088/1873-4030/ae33ba 2026
Predictive shape optimization and pH-responsive drug release in Au-doped Fe₃O₄ nanocarriers: a hybrid computational-experimental approach for targeted theranostics [0.03%]
基于计算和实验的杂化方法预测载药纳米载体形状优化及pH响应药物释放性能用于精准诊疗
R A Harris,P M Shumbula,C Andraos et al.
R A Harris et al.
The modeling and simulation of the next-generation of therapeutic and diagnostic systems (i.e. theranostics) will involve hybrid nanosystems: a combination of two or more nanoparticles. The release rate of this may be studied in silico and ...