{"title":"Biomechanical evaluation of orthotic insole design features for pediatric flexible flatfoot using finite element analysis.","authors":"Xinming Wu, Xinhui Zhang, Ruijie Wu, Xinxin Feng, Xinyu Fu, Zihan Song, Hang Xu","doi":"10.1080/10255842.2026.2667300","DOIUrl":"https://doi.org/10.1080/10255842.2026.2667300","url":null,"abstract":"<p><p>This study proposes a finite element (FE) framework to quantitatively evaluate customized insole designs for pediatric flexible flatfoot. Validated subject-specific FE models from nine pediatric cases were analyzed under static weight-bearing to assess the effects of arch support height, arch support area, and medial heel wedge height on plantar loading. Results revealed that arch support height and medial heel wedge height dominantly influence load transfer, with arch height facilitating midfoot loading and the heel wedge correcting hindfoot mechanics, whereas arch support area has limited impact. This quantitative approach demonstrates the potential of FE analysis to guide patient-specific orthotic prescriptions.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845579","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 study on fractional mathematical model for cancer chemotherapy using the residual power series method.","authors":"Rakesh Kumar Meena, Sushil Kumar","doi":"10.1080/10255842.2026.2664772","DOIUrl":"https://doi.org/10.1080/10255842.2026.2664772","url":null,"abstract":"<p><p>In the present study, we develop classical and fractional-order mathematical models for cancer chemotherapy. The model is represented by a system of fractional differential equations with a Caputo fractional derivative consisting of the normal, effector, immune-response, tumour cells, and chemotherapeutic drug. The local and global stability of the model are examined, and the existence and uniqueness criteria of the solutions for the stable model are also discussed. The semi-analytical solution of the model is obtained in the form of a convergent series using the residual power series method. The behaviour of normal, effector, immune-response, tumour cells, and chemotherapeutic drug amounts for distinct fractional orders is also obtained. Additionally, the parametric sensitivity analysis for the model is discussed.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845640","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":"Heat transfer and catheter motion effects on rheological behavior of blood flow through plaque-obstructed artery.","authors":"Dunya Waqfi, Huey Tyng Cheong, Katta Ramesh","doi":"10.1080/10255842.2026.2660752","DOIUrl":"https://doi.org/10.1080/10255842.2026.2660752","url":null,"abstract":"<p><p>This study presents a unified analysis of catheter motion (antegrade, stationary, retrograde) in Casson blood flow through a stenotic artery, incorporating Joule heating, electroosmosis, magnetic field, and thermal radiation effects. The simplified governing equations are solved using homotopy perturbation and Frobenius methods. Results indicate that retrograde motion produces the highest wall shear stress and pressure gradient. Increasing catheter radius reduces velocity near the catheter while enhancing it near the arterial wall. Notably, increasing the radius from 0.1 to 0.4 raises the pressure gradient at peak stenosis by 123.36%, 130.32%, and 133.60%, respectively, emphasizing significant hemodynamic effects.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-27"},"PeriodicalIF":1.6,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845715","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}
Ali Khalvandi, Mohammadreza Khorasani, Mojtaba Sadighi, Reza Hedayati
{"title":"Machine learning assisted prediction of the compressive response of porous metallic bio-metamaterials.","authors":"Ali Khalvandi, Mohammadreza Khorasani, Mojtaba Sadighi, Reza Hedayati","doi":"10.1080/10255842.2026.2659373","DOIUrl":"https://doi.org/10.1080/10255842.2026.2659373","url":null,"abstract":"<p><p>This study leverages deep feed-forward neural networks (DNNs) to develop a predictive model for estimating the compressive behavior of porous metallic bio-metamaterials based on their geometric and material characteristics. A DNN architecture comprising two hidden layers was trained on an extensive dataset of 3D-printed porous metamaterials with various relative densities and mechanical properties. The model's performance using Mean Absolute Error, Mean Squared Error, and R2 demonstrated high accuracy. Sensitivity analysis identified relative density and applied strain as the most influential parameters. The results underscore the potential of machine learning in rapid design of porous bio-metamaterials, reducing reliance on costly experimental procedures.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845650","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}
Artur Lamana Kanso, Sílvio Aparecido Verdério Júnior, Edson Antonio Capello Sousa, Sabina Gheduzzi, Harinderjit S Gill, Bruno Agostinho Hernandez
{"title":"A workflow for the creation of specimen-specific finite element models based on open-source software - a feasibility study.","authors":"Artur Lamana Kanso, Sílvio Aparecido Verdério Júnior, Edson Antonio Capello Sousa, Sabina Gheduzzi, Harinderjit S Gill, Bruno Agostinho Hernandez","doi":"10.1080/10255842.2026.2664770","DOIUrl":"https://doi.org/10.1080/10255842.2026.2664770","url":null,"abstract":"<p><p>Specimen-specific Finite Element (FE) models support personalized biomechanics but commercial software costs limit accessibility. Open-source tools offer alternatives, though complete workflows remain difficult. This study evaluated feasibility using primarily open-source software by reproducing a vertebral body FE study. CT images of a porcine cervical vertebra were segmented in 3D Slicer, refined in MeshMixer, converted in FreeCAD, and meshed in Ansys due to BoneMat dependencies. Material properties were mapped from Hounsfield Units. The model reproduced geometry, distribution, and mechanical response with <8% differences and no significant load-displacement variation. Limitations include tool incompatibility, yet the workflow reduces cost and improves accessibility.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823128","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":"Effect of axial Bruxism bite force on titanium alloys biomaterials experimental chewing test and 3D finite element simulation.","authors":"Efe Çetin Yilmaz","doi":"10.1080/10255842.2024.2443146","DOIUrl":"https://doi.org/10.1080/10255842.2024.2443146","url":null,"abstract":"<p><p>This study aims to analyze the wear behavior of cp-Ti and Ti-alloys, which are frequently preferred as dental materials in the human body, under different Bruxism wear processes by experimental <i>in vitro</i> chewing cycle and finite element analysis(FEA) simulation method. The results obtained within the scope of this study showed that the Bruxism wear resistance increased by adding zirconium and tantalum to pure titanium material. However, in the FEA simulation, it was observed that the maximum stress area was evident in the implant structure at 75° bite force chewing process.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":"29 6","pages":"1397-1406"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823183","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":"Enhancing heart disease prediction accuracy with hybrid machine learning.","authors":"Huie Zhang, Caihong Li, Xinzhi Tian, Haijie Shen","doi":"10.1080/10255842.2025.2510368","DOIUrl":"10.1080/10255842.2025.2510368","url":null,"abstract":"<p><p>In this study, cardiovascular disease prediction was performed using adaptive boosting (ADA) and histogram gradient boosting (HGB) machine learning models. To improve their predictive accuracy, metaheuristic optimization algorithms, the Sea-Horse Optimizer (SHO) and the Chaos Game Optimizer (CGO), were integrated with the models. This led to the development of hybrid models: ADSH (ADA + SHO), ADCG (ADA + CGO), HGSH (HGB + SHO), and HGCG (HGB + CGO). Among them, the HGSH model achieved the highest accuracy of 0.912, outperforming the others. HGCG followed with 0.902, while the base ADA model showed lower performance with a precision of 0.840.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1433-1444"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200661","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 construction of a breast cancer prognostic model by combining genes related to hypoxia and endoplasmic reticulum stress.","authors":"Guohua Liu, Yuan Shi, Jing Wang, Haitao Gao, Jiacai Liu, Huihua Wang, Tiantian Wang, Ya Wei","doi":"10.1080/10255842.2025.2453941","DOIUrl":"10.1080/10255842.2025.2453941","url":null,"abstract":"<p><p>Breast cancer (BC) is a malignant tumor that occurs in breast tissue. This project aims to predict the prognosis of BC patients using genes related to hypoxia and endoplasmic reticulum stress (ERS). RNA-seq and clinical data for BC were downloaded from TCGA and GEO databases. Hypoxia and ERS-related genes were collected from the Genecards database. Univariate/multivariate Cox regression and Lasso regression analyses were used to screen genes and construct prognostic models. Patients were divided into high-risk (HR) and low-risk (LR) groups based on risk scores. The CIBERSORT algorithm was used to analyze differences in immune infiltration between the two groups. The mutations of the two groups were analyzed statistically. The CellMiner database was used for drug prediction and the TISCH database for single-cell sequencing analysis. We screened 8 feature genes to construct a prognostic model. Patients in the HR group had a remarkably worse prognosis. TP53 exhibited a higher mutation frequency in the HR group. CIBERSORT analysis uncovered a remarkable increase in the infiltration levels of Macrophages M0 and Tregs in cancer patients and HR patients. Drug sensitivity prediction demonstrated that the expression of IVL was greatly negatively linked with the sensitivity of COLCHICINE. PTGS2 had a remarkably negative correlation with the Vincristine sensitivity. The prognostic model based on 8 hypoxia and ERS-related genes can predict the survival, immune status, and potential drugs of BC patients, bringing a new perspective on individualized treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1594-1607"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143047510","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}
Yunchuan Zhao, Haipo Cui, Xudong Guo, Jingcheng Lang
{"title":"Biomechanical analysis of nickel-titanium (NiTi)-cobalt-chromium (CoCr) hybrid-braided dense-mesh stents for carotid artery stenosis.","authors":"Yunchuan Zhao, Haipo Cui, Xudong Guo, Jingcheng Lang","doi":"10.1080/10255842.2024.2428720","DOIUrl":"10.1080/10255842.2024.2428720","url":null,"abstract":"<p><p>This study investigates NiTi-CoCr hybrid carotid artery stents to enhance mechanical properties over NiTi-only designs. Different configurations (24NiTi, 20NiTi-4CoCr, 16NiTi-8CoCr, and 12NiTi-12CoCr) were evaluated through radial compression and bending simulations. The 12NiTi-12CoCr stent showed the highest radial support (39.37 N) and increased bending strength by 77.96%. When modeled in a stenotic artery, this stent reduced stenosis from 81.52% to 29.33% and improved blood flow dynamics, alleviating high-pressure zones and balancing wall shear stress. These results suggest that CoCr wires improve stent performance, with the 12NiTi-12CoCr stent offering significant biomechanical and hemodynamic benefits.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1181-1192"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631567","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}
Thomas Valerio, Jean-Louis Milan, Benjamin Goislard de Monsabert, Laurent Vigouroux
{"title":"What is the most important mechanical factor involved in trapeziometacarpal osteoarthritis development? A sensitivity analysis based on biomechanical modelling.","authors":"Thomas Valerio, Jean-Louis Milan, Benjamin Goislard de Monsabert, Laurent Vigouroux","doi":"10.1080/10255842.2024.2430446","DOIUrl":"10.1080/10255842.2024.2430446","url":null,"abstract":"<p><p>Few studies consider the variability of the model parameters. This study aimed to perform a sensitivity analysis of a trapeziometacarpal joint model, by performing 675 finite element simulations built from the combination of different morphologies, joint passive stiffness, and grip strategies to estimate the joint pressure. Pressure variability was significantly more affected by morphology than grip strategy and joint passive stiffness. The effect of morphology and grip strategy on joint pressure was significant. A significant correlation between the trapezium dorso-volar curvature and the joint pressure was found. Morphology seems more important than the other parameters to estimate joint contact pressure correctly.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1225-1233"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677503","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}