Hui Wu, Linfeng Xi, Yueming Hao, Min Liu, Qiang Huang, Tianxiang Ma, Xiaoyan Deng, Zhenguo Zhai, Xiao Liu
{"title":"Effects of inlet boundary conditions on blood flow and thrombosis modelling in patients with chronic thromboembolic pulmonary hypertension.","authors":"Hui Wu, Linfeng Xi, Yueming Hao, Min Liu, Qiang Huang, Tianxiang Ma, Xiaoyan Deng, Zhenguo Zhai, Xiao Liu","doi":"10.1080/10255842.2024.2429789","DOIUrl":"10.1080/10255842.2024.2429789","url":null,"abstract":"<p><p>To investigate the impact of patient-specific boundary conditions (BC) on blood flow and thrombosis modelling for patients with chronic thromboembolic pulmonary hypertension (CTEPH), three types of BCs were utilized to construct CTEPH models based on computed tomography pulmonary angiography images. First BC type is the patient-specific velocity profiles at the main pulmonary artery using phase contrast MRI (PC-MRI). The other two simplified types are the pulsatile BC and steady BC, which are obtained by spatially and temporally averaging the PC-MRI BC. Hemodynamic features including helical density, time-averaged wall shear stress (TAWSS) and oscillatory shear index (OSI), and thrombosis were compared for the three types BCs. The results indicated that, compared to the MRI BC, steady BC overestimated helical density and TAWSS in the pulmonary arteries by approximately 63.1% and 60%, respectively. The impact of simplified pulsatile BC on TAWSS and OSI in most regions of the pulmonary arteries was negligible with differences within 5%. Regarding thrombosis, the area predicted under pulsatile BC was approximately 80% smaller than that under PC-MRI BC. In conclusion, compared to PC-MRI BC, steady inlet BC tend to overestimate hemodynamic parameters, while pulsatile inlet BC yield similar wall shear stress based on parameters in most regions of the pulmonary artery. Patient-specific PC-MRI inlet BC should be used for accurate predictions of helical flow pattern and thrombus formation.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1214-1224"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677429","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":"Impact of sacroiliac interosseous ligament tension and laxity on lumbar spine biomechanics under vertical vibration: a finite element study.","authors":"ShiHong Yu, ShiFu Zheng, Ying Gao, YiTang Liu, KaiFeng Zhang, RuiChun Dong","doi":"10.1080/10255842.2024.2437661","DOIUrl":"10.1080/10255842.2024.2437661","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the impact of tension and laxity in the sacroiliac interosseous ligament on lumbar spine displacement and force response in vibration environments.</p><p><strong>Methods: </strong>A finite element model of the lumbar-pelvis, previously crafted and rigorously validated, was used to simulate ligament tension and laxity by adjusting the elastic modulus of the SIL under a sinusoidal vertical load of ±40 N at 5 Hz. Comparisons of lumbar spine horizontal and axial displacements as well as annulus fibrous stress, nucleus pulposus pressure, and facet joint force were performed, respectively.</p><p><strong>Results: </strong>With the elastic modulus of the SIL varying by +50, -50, and -90%, the maximum vibration amplitude changed by +20.00, -175.00, and -627.27% for lumbar horizontal displacement, +30.00, -157.14, and -627.22% for lumbar axial displacements, +5.88, -19.35, and -245.16% for annulus fibrous stress, +10.00, -25.00, and -157.14% for nucleus pulposus pressure, as well as +6.54, -20.13, and -255.37% for facet joint force, respectively.</p><p><strong>Conclusion: </strong>In contrast to static environments, large laxity of the SILs not only diminishes lumbar spine stability in vibrational settings but also significantly amplifies dynamic loads, thereby heightening the risk of lumbar spine vibratory injuries and low back pain disorders.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1371-1379"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787586","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":"Modified mutual information feature selection algorithm to predict COVID-19 using clinical data.","authors":"R Ame Rayan, A Suruliandi, S P Raja","doi":"10.1080/10255842.2024.2429012","DOIUrl":"10.1080/10255842.2024.2429012","url":null,"abstract":"<p><p>The COVID-19 pandemic has profoundly impacted health, emphasizing the need for timely disease detection. Blood tests have become key diagnostic tools due to the virus's effects on blood composition. Accurate COVID-19 prediction through machine learning requires selecting relevant features, as irrelevant features can lower classification accuracy. This study proposes Modified Mutual Information (MMI) for feature selection, ranking features by relevance and using backtracking to find the optimal subset. Support Vector Machines (SVM) are then used for classification. Results show that MMI with SVM achieves 95% accuracy, outperforming other methods, and demonstrates strong generalizability on various benchmark datasets.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1193-1213"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683031","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}
Hao Li, Haitao Xie, Shujing Kang, Kuixue Xu, Xiaoyi Huang, Haiqiong Xie, Xu Cai, Wan Chen, Kai Wei
{"title":"Reconstruction of anterior talofibular ligament and posterior tibiotalar ligament enhance ankle stability after total talus replacement by finite element analysis.","authors":"Hao Li, Haitao Xie, Shujing Kang, Kuixue Xu, Xiaoyi Huang, Haiqiong Xie, Xu Cai, Wan Chen, Kai Wei","doi":"10.1080/10255842.2025.2456488","DOIUrl":"10.1080/10255842.2025.2456488","url":null,"abstract":"<p><p>Total talus replacement has been demonstrated to increase ankle instability. However, no studies have explored how to enhance postoperative stability. This study aims to explore the effect of collateral ligament reconstruction on ankle stability by finite element analysis. The results identify that the reconstruction of the posterior talofibular ligament or anterior tibiotalar ligament has little effect on ankle stability. Besides, the reconstruction of the posterior tibiotalar ligament can significantly enhance the eversion stability. Additionally, the traction force of the fibula on the total talar prosthesis after reconstruction of the anterior talofibular ligament can significantly enhance ankle inversion and anterior stability.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1637-1651"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143043249","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":"Delineation of hub genes related to ferroptosis and radiosensitivity in breast cancer with three identified subtypes.","authors":"Mao Mao, Yichao Zhuang, Haitao Yu","doi":"10.1080/10255842.2024.2433113","DOIUrl":"10.1080/10255842.2024.2433113","url":null,"abstract":"<p><p>This study aimed to explore the roles of radiotherapy-sensitive and ferroptosis genes in breast cancer (BRCA). Genes differentially expressed pre- and post-radiotherapy from the GSE59733 dataset were intersected with ferroptosis-related genes. Through a protein-protein interaction network, 10 hub genes were identified. BRCA patients were categorized into three clusters, with cluster 1 and cluster 2 showing the most significant survival difference. Cluster 1 demonstrated higher immune infiltration levels but poorer response to immune therapy compared to cluster 2. Moreover, cluster 1 and cluster 2 exhibited sensitivity to different drugs. These 10 hub genes can effectively classify patients and suggest potential drugs.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1326-1341"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142752095","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}
Svetlana Jeremić, Edina Avdović, Zana Dolićanin, Radiša Vojinović, Marko Antonijević, Zoran Marković
{"title":"<i>In silico</i> study of novel coumarin derivatives as potential agents in the pancreatic cancer treatment.","authors":"Svetlana Jeremić, Edina Avdović, Zana Dolićanin, Radiša Vojinović, Marko Antonijević, Zoran Marković","doi":"10.1080/10255842.2024.2431345","DOIUrl":"10.1080/10255842.2024.2431345","url":null,"abstract":"<p><p>Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest diseases. Here are investigated two synthesized and two hypothetical coumarin derivatives, and their capacity to be used in the PDAC targeted treatment. The inhibitory activity of these four molecules against PARP, ATM, and CHK1 proteins responsible for DNA molecule repair was examined by docking and molecular dynamic analysis. ADMET analysis was applied to determine the pharmacokinetic properties of the tested compounds. The applied theoretical approach showed that the biomedical activity of the investigated coumarins is comparable to the inhibitory activity and pharmacokinetic properties of Olaparib, already used in the PDAC treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1234-1248"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683108","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}
Lei Zhu, Yunsheng Wang, Aiai Huang, Xufei Tan, Jianhai Zhang
{"title":"A multi-branch, multi-scale, and multi-view CNN with lightweight temporal attention mechanism for EEG-based motor imagery decoding.","authors":"Lei Zhu, Yunsheng Wang, Aiai Huang, Xufei Tan, Jianhai Zhang","doi":"10.1080/10255842.2024.2448576","DOIUrl":"10.1080/10255842.2024.2448576","url":null,"abstract":"<p><p>Convolutional neural networks (CNNs) have been widely utilized for decoding motor imagery (MI) from electroencephalogram (EEG) signals. However, extracting discriminative spatial-temporal-spectral features from low signal-to-noise ratio EEG signals remains challenging. This paper proposes MBMSNet , a multi-branch, multi-scale, and multi-view CNN with a lightweight temporal attention mechanism for EEG-Based MI decoding. Specifically, MBMSNet first extracts multi-view representations from raw EEG signals, followed by independent branches to capture spatial, spectral, temporal-spatial, and temporal-spectral features. Each branch includes a domain-specific convolutional layer, a variance layer, and a temporal attention layer. Finally, the features derived from each branch are concatenated with weights and classified through a fully connected layer. Experiments demonstrate MBMSNet outperforms state-of-the-art models, achieving accuracies of 84.60% on BCI Competition IV 2a, 87.80% on 2b, and 74.58% on OpenBMI, showcasing its potential for robust BCI applications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1507-1521"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933315","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":"Simulation analysis of surgical neck fractures of the humerus related to bone degeneration.","authors":"Yutao Men, Lele Wei, Yeming Wang, Wei Chen, Fulong Liu, Yucheng Ren","doi":"10.1080/10255842.2025.2456986","DOIUrl":"10.1080/10255842.2025.2456986","url":null,"abstract":"<p><p>The most common type of proximal humerus fracture is surgical neck fracture. The purpose of this paper is to study the mechanical mechanism and the effect of bone degeneration on humeral surgical neck fractures. The right humerus finite element models were established based on CT computed tomography. The stress values and crack propagation process under an axial force were obtained. Three indexes (mechanical property, cortical bone thickness of diaphysis and cancellous bone volume fraction) in this article were used to describe bone degeneration. The results showed that the three models group with different index had the same conclusions. The calculation results showed that the higher the bone degeneration level, the shorter the fracture time and the lower the fracture stress. The crack initiated from the medial side of the humerus, then gradually grew toward lateral side along the both sides, and finally broke. The medial crack was flat and single like \"a thin line\", while the lateral fracture of the humerus was irregular and crushed into fragments. The medial humerus cracks were generated by tensile stress, while the lateral cracks were generated by compressive stress. The thickness of humerus diaphysis might be used as the index of fracture risk due to direct readability from clinical images and quantitative relation of fracture risk. This article would provide reference data for the treatment and prevention of humeral surgical neck fracture.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1690-1699"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143047454","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}
Mahmut Pekedis, Ahmet Adnan Karaarslan, Firat Ozan, Mesut Tahta, Cemil Kayali
{"title":"Novel anchor-type proximal femoral nail for the improvement of bone-fixation integrity in treating intertrochanteric fractures: an experimental and computational characterization study.","authors":"Mahmut Pekedis, Ahmet Adnan Karaarslan, Firat Ozan, Mesut Tahta, Cemil Kayali","doi":"10.1080/10255842.2025.2456985","DOIUrl":"10.1080/10255842.2025.2456985","url":null,"abstract":"<p><p>This study introduces a novel anchor-type proximal femoral nail (AT-PFN) to improve the bone-fixation integrity over the standard screw-type nail (SST-PFN). Quasi-static incremental cyclic load test was performed to investigate load-displacement, cumulative deformation energy, time-strain, and backbone curves. The finite element analysis (FEA) was implemented to identify the stress and strain distributions. Additionally, non-destructive dynamic tests were conducted, and the measurements were processed using statistical pattern recognition, based on vector autoregression and principal component analysis to investigate the nonlinearity due to bone-fixation interface. The results demonstrate that the AT-PFN significantly improves the bone-fixation integrity compared to SST-PFN.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1673-1689"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054281","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 analysis of CNNs and LSTMs for ECG-based diagnosis of arrythmia and congestive heart failure.","authors":"Nitish Katal, Hitendra Garg, Bhisham Sharma","doi":"10.1080/10255842.2025.2456487","DOIUrl":"10.1080/10255842.2025.2456487","url":null,"abstract":"<p><p>Cardiac arrhythmias are major global health concern and their early detection is critical for diagnosis. This study comprehensively evaluates the effectiveness of CNNs and LSTMs for the classification of cardiac arrhythmias, considering three PhysioNet datasets. ECG records are segmented to accommodate around ∼10s of ECG data. Followed by transformation to scalograms using DWT for training VGG-16; and WTS for feature extraction and dimensionality reduction for training LSTM network. VGG-16 achieved 96.44% test accuracy while LSTM achieved 92%. Results also highlight the effectiveness of VGG-16 for short-duration ECG analysis, while LSTM excels in long-term monitoring on edge devices for personalized healthcare.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1608-1636"},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069364","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}