Computer Methods in Biomechanics and Biomedical Engineering最新文献_第5页

Analysis of nitrogen metabolism-related gene expression in hepatocellular carcinoma to establish relevant indicators for prediction of prognosis and guidance of immunotherapy. 分析肝细胞癌中氮代谢相关基因的表达，建立预测预后和指导免疫疗法的相关指标。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-05-01 Epub Date: 2024-12-14 DOI: 10.1080/10255842.2024.2438922

Jianwen Duan, Renya Jiang, Hongbo Shen, Xiaofang Xu, Da Sun

{"title":"Analysis of nitrogen metabolism-related gene expression in hepatocellular carcinoma to establish relevant indicators for prediction of prognosis and guidance of immunotherapy.","authors":"Jianwen Duan, Renya Jiang, Hongbo Shen, Xiaofang Xu, Da Sun","doi":"10.1080/10255842.2024.2438922","DOIUrl":"10.1080/10255842.2024.2438922","url":null,"abstract":"Background: The prognosis of cancers is strongly connected with nitrogen metabolism (NM), which plays a critical role in the microenvironment and growth of tumors. It is unsubstantiated, however, how important NM-related genes are for the prognosis of hepatocellular carcinoma (HCC).Methods: Using publicly available data, we examined potential mechanisms of NM-related genes in HCC, created a predictive model, and assessed immune infiltration and medication sensitivity.Results: A prognostic model, which included 12 NM genes (COLQ, GNE, ISCU, MSRA, SARS2, SPHK1, CBS, GOT2, CHST1, EXTL2, GCLM, YARS1), was constructed based on regression analysis. The robustness of the model was validated using multiple methods. The high-risk (HR) and low-risk (LR) groups had varying degrees of immune infiltration, according to an immunology-related study. Of these, B cells and Type_II_IFN_Response were greatly infiltrated in the LR group, whereas aCDs, Macrophages, and Treg were heavily infiltrated in the HR group (p < 0.05). Because of higher immunophenoscore, the low-risk group could benefit from immunotherapy more. Drug sensitivity predictions indicated that people with high CBS expression and low GOT2 and ISCU expression may benefit more from treatment with SCH-772984, Pimasertib, Cobimetinib (isomer1), TAK-733, LY-3214996, ARRY-162, Cladribine, Fludarabine, and Hydroxyurea.Conclusion: This work created a 12-gene signature based on NM, preliminary investigated immune infiltration in two risk categories, and discovered some possible anti-tumor medications. To sum up, our study findings offer fresh perspectives on the roles played by NM-associated genes in HCC development, prognosis, immunological response, and medication screening.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1380-1396"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824565","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

Diagnosis of Alzheimer's disease based on particle swarm optimization EEG signal channel selection and gated recurrent unit. 基于粒子群优化脑电信号通道选择和门控循环单元的阿尔茨海默病诊断。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-29 DOI: 10.1080/10255842.2026.2661797

Xianhao Shen, Lei Ding, Xuewen Li, Ling Gu, Jiazhi Yang

{"title":"Diagnosis of Alzheimer's disease based on particle swarm optimization EEG signal channel selection and gated recurrent unit.","authors":"Xianhao Shen, Lei Ding, Xuewen Li, Ling Gu, Jiazhi Yang","doi":"10.1080/10255842.2026.2661797","DOIUrl":"https://doi.org/10.1080/10255842.2026.2661797","url":null,"abstract":"Electroencephalogram (EEG) reflect changes in the electrophysiological activity of the brain and can be used in the diagnosis of Alzheimer's disease (AD). Each EEG channel provides real-time information about the brain, while different EEG channels contain different information about the brain. Using all EEG channel data for AD diagnosis contains redundancy data, leading to increased computation and reduced data analysis accuracy. In this paper, a diagnostic method for AD based on Particle Swarm Optimization (PSO) EEG channel selection and Gated Recurrent Unit (GRU) is proposed. Using EEG energy as the fitness function and PSO to select EEG channels, the redundant information in EEG data is reduced and the accuracy of EEG data analysis is improved. GRU is a special kind of recurrent neural network (RNN) structure. It uses EEG data extracted by the principal component analysis (PCA) feature based on singular value decomposition (SVD) as input to the model. And it has a good advantage in analyzing the time series of EEG. The results show that the classification accuracy of the method in this paper reaches 0.9487, which is higher than the performance of other proposed methods. Compared to the results of using all EEG channel data analysis, the classification accuracy of this method was improved by 0.0757. It shows that the method proposed in this paper can improve the classification accuracy of EEG in AD classification tasks and can be applied to related classification tasks.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788053","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

The impact of early graft viscoelastic degeneration on tibiofemoral joint stress after anterior cruciate ligament reconstruction: a finite element analysis. 前交叉韧带重建后早期移植物粘弹性变性对胫股关节应力的影响：有限元分析。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-29 DOI: 10.1080/10255842.2026.2662513

Zizhan Lian, Bin Sun, Qinqin Yang, Xiangfei Kong, Yichen Yan, Jie Yao, Bin Yang, Yubo Fan

引用次数: 0

Application of a machine learning-based PANoptosis-immune-related gene risk score model in prognostic stratification and immunotherapy benefit prediction for glioblastoma. 基于机器学习的panoposis -免疫相关基因风险评分模型在胶质母细胞瘤预后分层和免疫治疗获益预测中的应用。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-29 DOI: 10.1080/10255842.2026.2661799

Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng

引用次数: 0

Forming prediction of TA2 pedicle screw system connection rod in lumbar interbody fusion: a CPFEM-based multiscale framework. TA2椎弓根螺钉系统连接棒在腰椎椎体间融合术中的形成预测：基于cpfem的多尺度框架。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-29 DOI: 10.1080/10255842.2026.2659964

Yijie Cai, Xiao Yang, Haiyang Wu, Pengpeng He, Zhongquan Yu, Wenqian Zhang

引用次数: 0

Geometrically simplified 3D finite element modeling of a smooth dental implant: materials influence across different bone types. 平滑牙种植体的几何简化三维有限元建模：材料对不同骨类型的影响。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-27 DOI: 10.1080/10255842.2026.2659963

Lahcene Ghouari, Takieddine Naili, Charafeddine Benatmane, Hala Messai, Youcef Bouzida

引用次数: 0

Patient-specific CFD evaluation of his angle and stoma caliber in stomach-partitioning gastrojejunostomy. 胃分区胃空肠造口术中他的角度和造口口径的患者特异性CFD评估。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-27 DOI: 10.1080/10255842.2026.2661810

Zhenmin Fan, Longbing Wu, Fengyan Xu, Haiqiao Zhang, Xia Ye, Zhi Zheng, Jun Zhang

{"title":"Patient-specific CFD evaluation of his angle and stoma caliber in stomach-partitioning gastrojejunostomy.","authors":"Zhenmin Fan, Longbing Wu, Fengyan Xu, Haiqiao Zhang, Xia Ye, Zhi Zheng, Jun Zhang","doi":"10.1080/10255842.2026.2661810","DOIUrl":"https://doi.org/10.1080/10255842.2026.2661810","url":null,"abstract":"This study employs patient-specific computational fluid dynamics coupled with a Lagrangian discrete-phase model to quantify the influence of His angle and anastomotic caliber on intragastric hemodynamics after stomach-partitioning gastrojejunostomy (SPGJ). Three His angles (3°, 7°, 11°) and three stoma widths (narrow, intermediate, wide) were systematically analyzed. Within the physiological range, His angle altered global velocity and pressure by <5%, yet extreme values prolonged mean particle residence up to 1.9-fold, indicating a moderate angle (∼7°) minimizes stasis without elevating pressure loss. Stoma size proved decisive: very narrow or very wide orifices produced low-velocity seepage, high stagnation, and either excessive or moderate pressure drops, whereas an intermediate aperture yielded the lowest Δp and the shortest residence time. The results suggest that optimizing SPGJ requires maintaining a moderate His angle and designing an intermediate-sized anastomosis to maximize emptying efficiency while limiting tumor irritation and reflux risk. Clinically, these findings provide actionable guidance for intraoperative configuration and stoma sizing to balance functional patency with complication avoidance.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788097","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

Multi-modal graph neural networks with cross-view attention and contrastive learning for molecular property prediction. 基于交叉关注和对比学习的多模态图神经网络用于分子性质预测。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-25 DOI: 10.1080/10255842.2026.2661853

Zhaoqi Liu, Shusen Zhou, Tong Liu, Chanjuan Liu, Mujun Zang, Qingjun Wang

引用次数: 0

Research on parametric construction and compressive mechanical properties of biomimetic bone trabecular porous scaffold based on Voronoi tessellation. 基于Voronoi镶嵌的仿生骨小梁多孔支架参数化结构及压缩力学性能研究。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-23 DOI: 10.1080/10255842.2026.2659966

Yutao Men, Tonghao Wang, Shaocan Tang, Chunqiu Zhang

{"title":"Research on parametric construction and compressive mechanical properties of biomimetic bone trabecular porous scaffold based on Voronoi tessellation.","authors":"Yutao Men, Tonghao Wang, Shaocan Tang, Chunqiu Zhang","doi":"10.1080/10255842.2026.2659966","DOIUrl":"https://doi.org/10.1080/10255842.2026.2659966","url":null,"abstract":"Aperiodic porous structures have become the preferred choice for bone scaffold design due to the similarity to human bone tissue in structural characteristics. However, their mechanical properties still remain unclear. In this paper, an aperiodic porous structure was constructed using probabilistic ball method based on the Voronoi principle. The effects of modeling parameters (seed number and minimum cross-sectional area) on the porosity, specific surface area and compression mechanical properties of the porous scaffold were studied. The results found that the seed number increased could cause a slight increase in porosity and a significant increase in specific surface area; the minimum cross-sectional area of the pillars had slight influence on the specific surface area and porosity of the model. The porosity of the porous scaffold was decided mainly by ratio coefficient of modeling. The constructed porous scaffolds not only had good energy absorption, but also could match the mechanical parameters of nature bone by adjusting the modeling parameters. It could provide reference data for the design of porous bone implants.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788145","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

Machine learning analysis of electroosmotic multi-hybrid immiscible urine flow in a bioactive channel: clinical perspectives. 生物活性通道中电渗透多杂交非混溶尿流的机器学习分析：临床观点。

IF 1.6 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-22 DOI: 10.1080/10255842.2026.2658754

Subhendu Das, Rajat Adhikari, Sanatan Das

引用次数: 0