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Exploring the genetic characteristics of overweight-related osteoarthritis using machine learning. 利用机器学习探索超重相关骨关节炎的遗传特征。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-28 DOI: 10.1080/10255842.2025.2510366
Zhaohui Jiang, Chunlei Xu, Wei Shi, Zhou Lin, Hui Li, Huafeng Zhang, Zhijun Li
{"title":"Exploring the genetic characteristics of overweight-related osteoarthritis using machine learning.","authors":"Zhaohui Jiang, Chunlei Xu, Wei Shi, Zhou Lin, Hui Li, Huafeng Zhang, Zhijun Li","doi":"10.1080/10255842.2025.2510366","DOIUrl":"10.1080/10255842.2025.2510366","url":null,"abstract":"<p><p>This investigation employed a synergistic approach integrating bioinformatics and machine learning methodologies to scrutinize overweight-related osteoarthritis characteristic genes (OROCGs). The research team procured gene expression profiles from osteoarthritis (OA) patients' cartilage and meniscus, derived from GEO database datasets GSE98918 and GSE117999. These profiles underwent meticulous examination through differential gene expression (DEG) identification, weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), support vector machine - recursive feature elimination (SVM-RFE), and single-sample gene set enrichment analysis (ssGSEA), culminating in the identification of six OROCGs. Furthermore, the study unveiled an augmented presence of myeloid-derived suppressor cells (MDSCs) and B cells in overweight-associated OA. The investigators formulated a diagnostic model encompassing pivotal genes related to DNA replication, chronic inflammation, and epigenetics, including CHTH18, CYSLTR2, HSF4, KDM6B, NR4A2, and UCKL1. The model's diagnostic precision was corroborated through receiver operating characteristic (ROC) curves and a nomogram applied to the test set and validation set GSE129147. This model efficaciously delineates the expression alterations and immune infiltration linked to overweight-related OA, thereby nominating these genes as prospective candidates for immunomodulatory therapeutic interventions.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3211-3224"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175763","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
Exploring the impact of simulated labral states on shoulder muscle activation during isometric and functional tasks. 探索在等长和功能性任务中模拟唇形状态对肩部肌肉激活的影响。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-16 DOI: 10.1080/10255842.2025.2503494
Fergus T H Lam, Clark R Dickerson
{"title":"Exploring the impact of simulated labral states on shoulder muscle activation during isometric and functional tasks.","authors":"Fergus T H Lam, Clark R Dickerson","doi":"10.1080/10255842.2025.2503494","DOIUrl":"10.1080/10255842.2025.2503494","url":null,"abstract":"<p><p>Glenohumeral joint stability requires contributions from shoulder muscular action and the glenoid labrum. This study investigated potential compensatory muscle strategies accompanying labral compromises by utilizing a customized mathematical biomechanical shoulder model. To illustrate potential shoulder muscular responses, various isometric and functional movement tasks were simulated under various labral statuses including aged, pathological, and surgically altered. Results emphasized the anisotropic compromises due to influences of aging and damage, along with the effectiveness of different surgical techniques to restore stability. These insights provide evidence to promote secondary injury prevention and refine labral management considerations relative to fundamental mechanistic bases for functional capacity.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3105-3116"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081688","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
RETRACTED ARTICLE: Harnessing the hybrid machine learning methods for stroke risk classification. 利用混合机器学习方法进行中风风险分类。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-19 DOI: 10.1080/10255842.2025.2501636
Dongxian Yu, Mingjie Wang
{"title":"RETRACTED ARTICLE: Harnessing the hybrid machine learning methods for stroke risk classification.","authors":"Dongxian Yu, Mingjie Wang","doi":"10.1080/10255842.2025.2501636","DOIUrl":"10.1080/10255842.2025.2501636","url":null,"abstract":"<p><p>We, the Editors and Publisher of Computer Methods in Biomechanics and Biomedical Engineering, have retracted the following article:Yu, D., & Wang, M. (2025). Harnessing the hybrid machine learning methods for stroke risk classification. Computer Methods in Biomechanics and Biomedical Engineering, 1-18. https://doi.org/10.1080/10255842.2025.2501636Following publication, concerns have been raised about the provenance and integrity of the dataset used in the article. Furthermore, the author of the dataset stated it is private and should only be used for educational purposes, not for research purposes. The authors of the article were approached for an explanation but did not respond. As verifying the validity of published work is core to the integrity of the scholarly record, we are therefore retracting the article. The authors did not respond to our retraction notification.We have been informed in our decision-making by our editorial policies and the COPE principles.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as 'Retracted'.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"i-xviii"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144095654","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
World COVID-19 bivariate statistics by multi-modal Gaidai reliability approach. 基于多模态Gaidai信度法的世界COVID-19双变量统计。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-19 DOI: 10.1080/10255842.2025.2506800
Oleg Gaidai, Shicheng He, Ahmed Alaghbari, Tanyaradzwa Kuzvidza, Antoine Dembadouno, Yan Zhu
{"title":"World COVID-19 bivariate statistics by multi-modal Gaidai reliability approach.","authors":"Oleg Gaidai, Shicheng He, Ahmed Alaghbari, Tanyaradzwa Kuzvidza, Antoine Dembadouno, Yan Zhu","doi":"10.1080/10255842.2025.2506800","DOIUrl":"10.1080/10255842.2025.2506800","url":null,"abstract":"<p><p>The global spread of coronavirus (COVID-19 or SARS-CoV-2) in the years 2020-2022 and beyond was characterized by high rates of transmission, low rates of morbidity and fatality, and challenges posed to national public health systems. A novel multi-modal bio-reliability approach is benchmarked and cross-validated in this case study. This case study delivers long-term epidemiological prognostics for biological, health, and environmental multi-regional systems, measured across representative periods. Assessing future epidemiological risks and hazards, related to high coronavirus mortality rates in any given location or region of interest at any given time horizon was the main goal of the current case study. Long-term epidemiological outbreak risks, posed to national public health systems, using raw (unprocessed) clinical histories, were assessed along with respective confidence intervals. Complex multi-variate inter-correlations between different regional data, given high regional dimensionality cannot be adequately incorporated by existing statistical methods, except for Monte Carlo Simulation (MCS) based numerical methods, as those are limited to univariate and bivariate systems. This case study presented a novel biosystem bio-reliability method, particularly suitable for multi-regional health and environmental systems, observed during a representative observational period. Long-term high-death rate prognostics were carried out. The proposed multi-variate bio-reliability approach, based on raw clinical survey data, may be utilized for a wide range of clinical public health, epidemiologic, and environmental applications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3185-3191"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103034","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
Assumption-bounded reduced electro-thermal modeling of lesion formation in radiofrequency cardiac ablation: power-time allocation, thermal latency, perfusion, and temperature limitation. 射频心脏消融中病变形成的假设边界简化电热模型：功率-时间分配、热潜伏期、灌注和温度限制。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-29 DOI: 10.1080/10255842.2026.2736278
Xue Zhou, Lingfeng Lu
{"title":"Assumption-bounded reduced electro-thermal modeling of lesion formation in radiofrequency cardiac ablation: power-time allocation, thermal latency, perfusion, and temperature limitation.","authors":"Xue Zhou, Lingfeng Lu","doi":"10.1080/10255842.2026.2736278","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736278","url":null,"abstract":"<p><p>Radiofrequency ablation comparisons are confounded by energy, latency, perfusion, assumptions, and controller action. An assumption-bounded two-dimensional electro-thermal model compared 30 W/30 s, 50 W/10 s, fixed 90 W/4 s, and temperature-limited 90 W/4 s protocols. A 30 s post-pulse endpoint passed 12/12 cases. Equal-energy peak temperatures differed. In the 4 mm-buffer grid, the limiter reduced power in 29/60 cells. Peak-temperature and protocol-associated perfusion-effect orderings persisted across return-location tests, whereas the presence of the Arrhenius damage contour Ω ≥ 1 and controller intervention were return-sensitive. This supports screening, not absolute or patient-level prediction.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.9,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149076136","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
Towards minimally invasive prosthetic surgery of the temporomandibular joint: design and integrated CAD-FEM preclinical approach on the mini-pig. 微创颞下颌关节假体手术：迷你猪的设计及CAD-FEM集成临床前方法。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-25 DOI: 10.1080/10255842.2026.2736280
Nicolas Bethune, Lilian Baugnon, Jean-François Guignardat, Olivier Mayeur, Romain Nicot
{"title":"Towards minimally invasive prosthetic surgery of the temporomandibular joint: design and integrated CAD-FEM preclinical approach on the mini-pig.","authors":"Nicolas Bethune, Lilian Baugnon, Jean-François Guignardat, Olivier Mayeur, Romain Nicot","doi":"10.1080/10255842.2026.2736280","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736280","url":null,"abstract":"<p><p>A patient-specific, minimally invasive temporomandibular joint prosthesis was developed using an integrated workflow combining medical imaging, semi-automated CAD modeling, finite element analysis, and additive manufacturing. A minipig anatomical model was used to assess geometric feasibility and preliminary structural behavior. Three condylar component sizes were evaluated under simplified loading conditions, with additional simulations examining loading orientation. Miniaturization maintained stresses below the assumed material yield strengths, while peak stresses remained localized near the inferior bone-contacting edge. Physical fitting confirmed geometric conformity and surgical feasibility. This proof-of-concept study demonstrates the feasibility of an anatomy-specific workflow for designing and manufacturing miniaturized TMJ prostheses.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041756","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
An inverse approach to estimating cervical spine disc material properties and disc stress under In vivo load. 在体内负荷下估计颈椎椎间盘材料特性和椎间盘应力的逆向方法。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-24 DOI: 10.1080/10255842.2026.2736259
Soumaya Ouhsousou, Clarissa M LeVasseur, Jeremy Shaw, William Anderst, John C Brigham
{"title":"An inverse approach to estimating cervical spine disc material properties and disc stress under In vivo load.","authors":"Soumaya Ouhsousou, Clarissa M LeVasseur, Jeremy Shaw, William Anderst, John C Brigham","doi":"10.1080/10255842.2026.2736259","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736259","url":null,"abstract":"<p><p>This study presents a novel inverse finite element approach to estimate <i>in vivo</i> cervical spine biomechanical function. A physics-constrained optimization framework is used to estimate subject-specific intervertebral disc properties and applied loads that reproduce measured motion. As a proof-of-concept, analysis of a healthy human subject was able to accurately replicate vertebral kinematics within 1 mm on average. Incorporating material heterogeneity significantly improved predictions, while loading assumptions influenced estimated stress distributions. Despite some nonuniqueness in parameter estimation, disc stress patterns remained consistent. As a proof-of-concept with one healthy subject and one flexion motion, this approach shows early promise for noninvasively assessing <i>in vivo</i> tissue properties.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.9,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041768","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
Identification of anoikis-related and cell matrix adhesion genes in the progression of colon adenocarcinoma using bioinformatics analysis. 利用生物信息学分析鉴定大肠腺癌进展中嗜酸相关和细胞基质粘附基因。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-23 DOI: 10.1080/10255842.2026.2736274
Ting Zheng, Xingxing Li, Li Zhou, Jianjiang Jin
{"title":"Identification of anoikis-related and cell matrix adhesion genes in the progression of colon adenocarcinoma using bioinformatics analysis.","authors":"Ting Zheng, Xingxing Li, Li Zhou, Jianjiang Jin","doi":"10.1080/10255842.2026.2736274","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736274","url":null,"abstract":"<p><p>To develop an innovative prognostic model for colon adenocarcinoma (COAD), we integated anoikis- and cell matrix adhesion (CMA related mechanisms using TCGA and GEO datasets. Six genes (BST2, NAT1, OFCC1, HOTAIR, TRIP6, ADAMTS13) were identified, risk model stratified patients into high- and low risk groups with distinct survival (p=0.025), validated in GSE17536. A nomogram showed good predictive accuracy. Functional enrichment highlighted tumor-, anoikis-, and CMA-related pathways, immune infiltration correlated with prognostic signature and risk score. High-risk patients were more sensitive to afatinib, osimertinib, and navitoclax; low-risk patients to paclitaxel, docetaxel, and gemcitabine. These genes may serve as prognostic biomarkers and guide tailored COAD therapy.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.9,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149026658","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
Modeling rod elasto-plasticity improves biomechanical simulation of adolescent idiopathic scoliosis instrumentation. 模拟棒弹塑性改进了青少年特发性脊柱侧凸器械的生物力学模拟。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-23 DOI: 10.1080/10255842.2026.2736264
Camille Pillot, Xiaoyu Wang, Todd Ritzman, Lorena Floccari, Richard M Schwend, Carl-Eric Aubin
{"title":"Modeling rod elasto-plasticity improves biomechanical simulation of adolescent idiopathic scoliosis instrumentation.","authors":"Camille Pillot, Xiaoyu Wang, Todd Ritzman, Lorena Floccari, Richard M Schwend, Carl-Eric Aubin","doi":"10.1080/10255842.2026.2736264","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736264","url":null,"abstract":"<p><p>In adolescent idiopathic scoliosis instrumentation surgery, spinal rods undergo substantial elasto-plastic deformation resulting in flattening, yet most biomechanical models represent rods as linear-elastic. We evaluated two approaches to account for elasto-plasticity and their improvement over conventional linear-elastic modeling in 14 patient-specific physics-based simulations with identical instrumentation constructs: a computationally efficient approximation of permanent contour loss and a material-based approach using nonlinear stress-strain behavior to estimate plastic deformation. Linear-elastic modeling overestimated postoperative rod curvature, sagittal correction and forces, whereas both elasto-plastic approaches better reproduced postoperative rod shape and global alignment. Incorporating rod elasto-plasticity improves the biomechanical fidelity of surgical simulation.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.9,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149026663","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
Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals. 基于深度学习的皮层和皮层下缺血性脑梗死的fNIRS信号分类。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-23 DOI: 10.1080/10255842.2026.2736283
Boyang Xu, Hong Xu, Huabo Liu, Yuhui Chen
{"title":"Deep learning-based classification of cortical and subcortical ischemic stroke infarction using fNIRS signals.","authors":"Boyang Xu, Hong Xu, Huabo Liu, Yuhui Chen","doi":"10.1080/10255842.2026.2736283","DOIUrl":"https://doi.org/10.1080/10255842.2026.2736283","url":null,"abstract":"<p><p>Distinguishing cortical from subcortical ischemic stroke may help guide management. We developed DBT-Net, which combines a DHR residual module, BiLSTM, and Transformer, to classify stroke subtypes from fNIRS signals. The model was evaluated by patient-wise stratified five-fold cross-validation in 175 participants under verbal fluency, right-hand grasp, and resting-state conditions. Accuracy was 0.886 ± 0.055, 0.913 ± 0.062, and 0.878 ± 0.046, with AUCs of 0.920 ± 0.072, 0.912 ± 0.069, and 0.900 ± 0.034, respectively. SHAP analysis highlighted cortical channels contributing most to the predictions.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.9,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149026628","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
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