Computer Methods in Biomechanics and Biomedical Engineering最新文献

Myeloid cell differentiation-related gene signature predicts the prognosis and immunotherapy response in bladder cancer. 骨髓细胞分化相关基因标记预测膀胱癌的预后和免疫治疗反应。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-15 DOI: 10.1080/10255842.2025.2532034

Lewei Guan, Fuchun Zheng, Sheng Li, Yuyang Yuan, Situ Xiong, Xiaoqiang Liu, Bin Fu

{"title":"Myeloid cell differentiation-related gene signature predicts the prognosis and immunotherapy response in bladder cancer.","authors":"Lewei Guan, Fuchun Zheng, Sheng Li, Yuyang Yuan, Situ Xiong, Xiaoqiang Liu, Bin Fu","doi":"10.1080/10255842.2025.2532034","DOIUrl":"https://doi.org/10.1080/10255842.2025.2532034","url":null,"abstract":"This study aims to identify prognostic and therapy-response biomarkers in bladder cancer (BC) by developing a predictive gene signature based on myeloid cell differentiation-related genes (MCDGs) to enhance patient management. BC patient data from TCGA and GEO were analyzed using non-negative matrix factorization (NMF) to classify subgroups. Survival differences and pathway variations were assessed. A prognostic MCDG model was constructed using univariate Cox regression and LASSO analyses, validated through Kaplan-Meier survival and ROC curves. Clinical relevance, tumor microenvironment (TME), drug response, and immunotherapy potential were evaluated. ACTN1 was verified via qRT-PCR and functional assays, including transwell migration, wound healing, colony formation, and EDU assays. NMF identified two BC subgroups (CA and CB), with CB showing better survival. Six key MCDGs linked to prognosis were identified. High-risk gene profiles correlated with poorer outcomes. Significant differences in immune infiltration, checkpoint expression, TME, and treatment response were observed. Notably, ACTN1 silencing suppressed BC cell proliferation. The MCDG signature predicts BC prognosis and may guide immunotherapy selection. ACTN1 is crucial in BC proliferation, highlighting its potential as a therapeutic target.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144638609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive approach to proactive performance assessment in safety-critical industries through EEG monitoring and advanced analysis. 通过脑电图监测和高级分析，对安全关键行业进行主动绩效评估的综合方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-14 DOI: 10.1080/10255842.2025.2527385

Gunda Yugaraju, Mohd Maneeb Masood, Suprakash Gupta

{"title":"A comprehensive approach to proactive performance assessment in safety-critical industries through EEG monitoring and advanced analysis.","authors":"Gunda Yugaraju, Mohd Maneeb Masood, Suprakash Gupta","doi":"10.1080/10255842.2025.2527385","DOIUrl":"https://doi.org/10.1080/10255842.2025.2527385","url":null,"abstract":"Enhancing human performance is crucial in various industries for improved operational efficiency and safety, as even minor fluctuations can lead to severe consequences. The integration of electroencephalography (EEG) and advanced analysis methods have become tailor-made for understanding and optimizing cognitive processes to mitigate such errors and accidents. This article delves into the realm of cognitive assessment and its implications for the optimization of human performance to forge a tool for predicting cognitive capacities. The methodology relies on the collection of EEG data, with a specific focus on the activity in the prefrontal cortex, which serves as an index for attention and working memory status. Ten healthy adults participated in these experiments, undergoing EEG measurements, and standardized cognitive tests in controlled environments over 15 d. The data analysis involved preprocessing EEG signals, feature extraction, and modeling using machine learning techniques including k-nearest neighbor (KNN), decision trees, support vector machines, and artificial neural network (ANN) models. The findings unequivocally single out the decision tree model as the leading performer among the machine learning techniques scrutinized. It impressively attained a sensitivity of 94.25%, underscoring its precision in identifying individuals with robust attentional performance. The model's precision soaring at 84.97% and accuracy at 83.47% reinforce its ability to differentiate true positive cases with a minimal margin of false positives. However, the ANN model stands out as the best performer among memory models with an impressive accuracy of 83.90%. These findings add on the potential of EEG signals and machine learning for practical applications, emphasizing the value of eye blink patterns and neurophysiological data in predicting cognitive performance.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.7,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144638608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A permutation importance and ensemble learning based feature selection approach for muscular intent decoding. 基于排列重要性和集成学习的肌肉意图解码特征选择方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-14 DOI: 10.1080/10255842.2025.2526017

Anil Sharma, Ila Sharma

引用次数: 0

Understanding the effect of lumbar lordosis angle on vertebral load distribution during walking. 了解腰椎前凸角对行走时椎体负荷分布的影响。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-13 DOI: 10.1080/10255842.2025.2530658

Jie Chen, Patria A Hume, Hannah Wyatt, Ted Yeung, Julie Choisne

引用次数: 0

IncorporationNet: a novel bimodal EEG-EOG vigilance estimation method via time-frequency-space feature fusion network. 基于时频空特征融合网络的双峰EEG-EOG警觉性估计方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-13 DOI: 10.1080/10255842.2025.2515517

Dongrui Gao, Zhihong Zhou, Pengrui Li, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

引用次数: 0

Biomechanical effects of asymmetric backpack shoulder straps on the unilateral flatfoot: a finite element analysis. 不对称背包肩带对单侧扁平足的生物力学影响：有限元分析。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-12 DOI: 10.1080/10255842.2025.2530650

Chen Hu, Xuanzhen Cen, Dong Sun, Zhenghui Lu, Yining Xu, Chengyuan Zhu, Yufan Xu, Yaodong Gu

{"title":"Biomechanical effects of asymmetric backpack shoulder straps on the unilateral flatfoot: a finite element analysis.","authors":"Chen Hu, Xuanzhen Cen, Dong Sun, Zhenghui Lu, Yining Xu, Chengyuan Zhu, Yufan Xu, Yaodong Gu","doi":"10.1080/10255842.2025.2530650","DOIUrl":"https://doi.org/10.1080/10255842.2025.2530650","url":null,"abstract":"This study investigated the biomechanical effects of asymmetric backpack shoulder strap configurations on individuals with unilateral flatfoot (UF) using finite element analysis (FEA). A male subject with UF was recruited, and different shoulder strap settings were simulated to assess their impact on plantar fascia and Achilles tendon stress and strain, as well as on changes in foot arch morphology. The results showed that using equal-length straps on both shoulders resulted in lower stress and strain levels in the plantar fascia and Achilles tendon during walking. However, when the strap length on the flatfoot side was increased, the longitudinal and transverse arch deformation of the affected foot also increased, while deformation in the normal foot's longitudinal arch was reduced. These findings suggest that lengthening the strap on the flatfoot side may help improve arch morphology on that side, but at the cost of increased soft tissue loading and potential restriction of normal foot development.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced cardiovascular disease prediction: AMWOA-based feature selection and PyramidConvFormer-VAE fusion approach. 增强心血管疾病预测：基于amwoa的特征选择和pyramidconformer - vae融合方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-11 DOI: 10.1080/10255842.2025.2526789

P Nancy, M Rajkumar, S Ashwini, J Jegan Amarnath

引用次数: 0

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-11 DOI: 10.1080/10255842.2025.2530645

Nazife Çevik, Taner Çevik, Jawad Rasheed, Sachi Nandan Mohanty, Halil Ibrahim Cakar, Shtwai Alsubai

引用次数: 0

Finite element analysis of biomechanical effects of continuous versus interval pedicle screw configurations in scoliosis correction and optimization of dual-geometry screw design. 连续与间隔椎弓根螺钉配置在脊柱侧凸矫正中的生物力学效应的有限元分析及双几何螺钉设计的优化。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-09 DOI: 10.1080/10255842.2025.2530638

Chunshan He, Shixin Dou, Xiaoying Ma, Zhenhua Hou

{"title":"Finite element analysis of biomechanical effects of continuous versus interval pedicle screw configurations in scoliosis correction and optimization of dual-geometry screw design.","authors":"Chunshan He, Shixin Dou, Xiaoying Ma, Zhenhua Hou","doi":"10.1080/10255842.2025.2530638","DOIUrl":"https://doi.org/10.1080/10255842.2025.2530638","url":null,"abstract":"Purpose: To optimize scoliosis correction strategies by comparing continuous and interval pedicle screw configurations and proposing a dual-geometry screw design.Methods: A patient-specific T11-L5 scoliotic spine model was reconstructed via finite element analysis (FEA). Continuous and interval screw placements were evaluated for biomechanical performance. A novel dual-geometry screw (tapered-cylindrical transition) was developed.Results: Continuous configurations achieved a 43.5% reduction in displacement (1.33 mm vs. 2.36 mm) and a 29.7% decrease in screw stress (444.08 MPa vs. 631.35 MPa). The dual-geometry screw lowered drilling stress (16.5%, p < 0.05) and displacement heterogeneity (22.4%).Conclusion: Continuous screws enhance stability through synergistic load transfer, while dual-geometry screws mitigate interfacial damage. This provides biomechanical criteria for clinical scoliosis correction.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.7,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of motor imagery based on multi-scale feature extraction and fusion-residual temporal convolutional network. 基于多尺度特征提取和融合残差时间卷积网络的运动图像分类。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-08 DOI: 10.1080/10255842.2025.2528892

Zhangfang Hu, Kaixin Luo, Yan Liu

引用次数: 0