{"title":"Network pharmacology reveals the potential mechanisms of modified Shentong Zhuyu Decoction in alleviating cartilaginous endplate degeneration.","authors":"Chenglong Wang, Wei Hu, Zhenbing Guo, Yanlu Liu, Nianrong Han, Aikeremu WUsiman","doi":"10.1080/10255842.2026.2656281","DOIUrl":"https://doi.org/10.1080/10255842.2026.2656281","url":null,"abstract":"<p><p>This study employed network pharmacology,molecular docking, and molecular dynamics simulations to investigate the mechanism of modified Shentong Zhuyu Decoction in alleviating cartilaginous endplate degeneration. Active components and corresponding targets were screened, followed by analysis of core targets and signaling pathways, and validation of key binding interactions. Results indicate that the decoction exerts therapeutic effects through multi-component, multi-target, and multi-pathway regulation, primarily involved in inhibiting inflammation and other biological processes. This study provides a theoretical basis for its clinical application in treating cartilaginous endplate degeneration.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147693329","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}
{"title":"Finite element analysis of laryngeal mask airway sealing under patient-specific anatomical constraints: an exploratory study.","authors":"Xin Huang, Mingya Wang, Xueqing Wu, Yongzheng Han, Yangyang Xu, Da Lu, Dengyang Han, Baoqing Pei","doi":"10.1080/10255842.2026.2652447","DOIUrl":"https://doi.org/10.1080/10255842.2026.2652447","url":null,"abstract":"<p><p>The laryngeal mask airway (LMA) is widely used for safe airway management, but weight-based sizing often overlooks individual anatomical variations, impacting fit and seal due to differences in pharyngeal structures. This study investigates the biomechanical sealing mechanisms of the LMA in patients within the same weight range (50-70 kg) using finite element analysis. After LMA insertion, neck imaging data were collected and analyzed using finite element analysis. Results showed that even among patients within the same weight range, variations in LMA morphology and sealing characteristics emerge, among which an uneven localized pressure distribution could potentially affect the sealing effectiveness of the LMA. The study suggests that LMA size selection should consider individual pharyngeal anatomy for better seal quality and reduced complications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.6,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147655322","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}
{"title":"Effects of IMU placement strategies on the accuracy of hip joint angle estimation.","authors":"Jinan Dong, Jianxin Liu, Ziming Chen, Dejin Yang, Xiangyun Yin","doi":"10.1080/10255842.2026.2653845","DOIUrl":"https://doi.org/10.1080/10255842.2026.2653845","url":null,"abstract":"<p><p>Inertial measurement units (IMUs) provide a portable and low-cost solution for motion monitoring, but their estimation accuracy is strongly influenced by sensor placement. This study designs five IMU placement strategies with different numbers and positions of sensors, based on data from sixteen healthy participants performing six typical hip joint movements. Hip joint angles in the sagittal, frontal, and transverse planes are estimated using artificial neural network (ANN). The results show that sensor placement has a significant impact on estimation accuracy. Validation with random forest (RF) models confirms the same trend as ANN, supporting the reliability of the findings.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.6,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640568","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}
{"title":"Integrated bioinformatics analysis and in vitro validation reveal Dasatinib and Acetalax as novel therapeutic candidates for treating moderate to severe forms of ulcerative colitis.","authors":"Bo Zhang, Qiaoying Cai, Xiaobin Cheng","doi":"10.1080/10255842.2026.2650630","DOIUrl":"https://doi.org/10.1080/10255842.2026.2650630","url":null,"abstract":"<p><p>We analyzed transcriptomic alterations, immune infiltration, and candidate drugs in moderate-to-severe ulcerative colitis (UC) using integrative bioinformatics and in vitro validation. Thirty persistently dysregulated genes were identified and externally validated, with neutrophils emerging as a key immune component correlated with HSD11B2, SPP1, and FAM55A. Drug prediction and molecular docking highlighted Dasatinib and Acetalax as candidate compounds. In LPS-stimulated Caco-2 cells, both drugs improved viability and modulated inflammation-related gene and protein expression. These findings provide hypothesis-generating evidence that Dasatinib and Acetalax may have therapeutic relevance in moderate-to-severe UC.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640558","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}
Katterine N Rios-Peralta, Afonso J C Silva, Ricardo J Alves de Sousa, Kathleen M Curran, David B MacManus
{"title":"Development and validation of a thoraco-lumbar-pelvic spine finite element model: a platform for spinal loading and posture simulation.","authors":"Katterine N Rios-Peralta, Afonso J C Silva, Ricardo J Alves de Sousa, Kathleen M Curran, David B MacManus","doi":"10.1080/10255842.2026.2645661","DOIUrl":"https://doi.org/10.1080/10255842.2026.2645661","url":null,"abstract":"<p><p>Forward head posture is increasingly recognized as a contributor to lower back pain and spinal degeneration. This study presents the modification and validation of a detailed finite element (FE) model of the thoraco-lumbar-pelvic spine derived from the mesh of the Total Human Model for Safety (THUMS), TLP-THUMS. The TLP-THUMS model establishes a validated biomechanical baseline for the thoracic and lumbar spine, enabling future integration with a previously validated cervical model to support whole-spine analyses of posture-related conditions. Validation was conducted at both global and segmental levels of the thoracic and lumbar spine against existing ex vivo experiments and FE models.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-20"},"PeriodicalIF":1.6,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147624520","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}
{"title":"A comparative approach on classification of medical condition drug reviews using multiple traditional and neural network-based models.","authors":"Honglei Fu","doi":"10.1080/10255842.2026.2641195","DOIUrl":"https://doi.org/10.1080/10255842.2026.2641195","url":null,"abstract":"<p><p>This paper uses national language processing techniques to perform sentiment analysis, classifying user-written drug reviews for pain, depression, and birth control. Six machine learning (ML)-based models are employed for analysis, including neural networks (NNs) like the simple NN and convolutional neural networks (CNNs), as well as more conventional models like Adaptive Boosting (AdaBoost), Random Forest (RF), Decision Tree (DT), and Support Vector Classification (SVC). Tokenization used TF-IDF for traditional models and word embeddings for CNN and a simple NN. Using precision, accuracy, recall, and F1-score, CNN achieved the highest F1-score (0.991), followed by NN (0.985) and RF (0.980).</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596037","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}
{"title":"Radau to the rescue: efficient and accurate discretization for optimal control simulations of running.","authors":"Alexander Weiss, Èric Lluch, Anne D Koelewijn","doi":"10.1080/10255842.2026.2640432","DOIUrl":"https://doi.org/10.1080/10255842.2026.2640432","url":null,"abstract":"<p><p>Biomechanical simulations based on optimal control provide valuable insights into muscle-driven locomotion when incorporating muscle-tendon dynamics. However, the influence of discretization methods in direct collocation for musculoskeletal simulations remains unexplored. We systematically evaluated six implicit Runge-Kutta schemes across gait tasks, dimensionalities, discretizations, and collocation densities. Radau IIa consistently minimized dynamic errors and outperformed Lobatto IIIc and Euler due to its numerical stability. Repeated-measures ANOVA showed significant method-node interactions. Backward Euler was fastest but least dynamically consistent, while two-stage Radau IIa offered a practical trade-off between dynamic consistency and computational effort. This paper provides guidelines for efficient optimal control in musculoskeletal modeling with implicit muscle dynamics.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-23"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596161","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}
{"title":"Finite element optimization of a magnetic anchor traction system for colonic ESD.","authors":"Yihe Sun, Shuangyuan Wang, Guozhen Bai, Fujia Sun","doi":"10.1080/10255842.2026.2650624","DOIUrl":"https://doi.org/10.1080/10255842.2026.2650624","url":null,"abstract":"<p><p>Endoscopic submucosal dissection (ESD) is a minimally invasive technique for early gastrointestinal neoplasms, yet remains technically challenging with procedure-related risks. A computational modeling framework is developed to numerically investigate ESD traction-force requirements and associated magnetic field characteristics. Based on derived force-distance constraints, an external magnet geometry is designed and evaluated using finite element simulations. The numerical results indicate that the proposed magnet configuration produces a smoother traction force-distance relationship over the prescribed working range, with reduced sensitivity to positional variation. These findings suggest that magnet-geometry optimization may provide a numerical pathway toward more predictable traction-force regulation in ESD.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596094","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}
{"title":"The role of m5C RNA methylation regulators in the diagnosis and immune microenvironment of osteoarthritis.","authors":"Kehan Li, Shengjie Wang, Chenyue Xu, Zhengyi Ni, Xiurong Wang, Fei Wang","doi":"10.1080/10255842.2024.2422911","DOIUrl":"10.1080/10255842.2024.2422911","url":null,"abstract":"<p><p>The 5-methylcytosine (m5C) is a common post-transcriptional RNA methylation modification and is involved in the pathological process of many diseases. However, little is known about the role of m5C in osteoarthritis (OA). OA gene data and the corresponding information were downloaded from the Gene Expression Omnibus database. Based on 36 m5C regulators, we constructed the landscape and diagnostic model for OA. Later, two m5C modification patterns were identified, and functional analyses were performed to evaluate whether these patterns were related to endoplasmic reticulum (ER) stress and mitochondrial autophagy. We further comprehensively analyzed the immune cell infiltration characteristics in different modification patterns in OA. We also established the post-transcriptional regulatory networks and drug-gene networks. Our findings suggested that m5C regulators were differentially expressed between OA and normal samples and could serve as novel biomarkers for the diagnosis of OA. Besides, m5C regulators may be involved in regulating ER stress, mitochondrial autophagy, and immune infiltration in OA. The m5C modification can influence the sensitivity to drugs and the potential post-transcriptional regulatory mechanisms might provide promising targets.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"952-966"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570346","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}
{"title":"Reconstruction of blood flow velocity with deep learning information fusion from spectral ct projections and vessel geometry.","authors":"Shusong Huang, Monica Sigovan, Bruno Sixou","doi":"10.1080/10255842.2024.2423883","DOIUrl":"10.1080/10255842.2024.2423883","url":null,"abstract":"<p><p>In this work, we investigate a new deep learning reconstruction method of blood flow velocity within deformed vessels from contrast enhanced X-ray projections and vessel geometry. The principle of the method is to perform linear or nonlinear dimension reductions on the Radon projections and on the mesh of the vessel. These low dimensional projections are then fused to obtain the velocity field in the vessel. The accuracy of the reconstruction method is proved using various neural network architectures with realistic unsteady blood flows. The approach leverages the vessel geometry information and outperforms the simple PCA-net.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1066-1081"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607469","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}