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Network pharmacology, docking, and molecular dynamics analysis of Sanhuang decoction in diabetic foot ulcers. 三黄汤治疗糖尿病足溃疡的网络药理学、对接及分子动力学分析。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-23 DOI: 10.1080/10255842.2025.2506798
Bo Wu, Xiaohong Lan, Yang Yang, Yuekun Wang
{"title":"Network pharmacology, docking, and molecular dynamics analysis of Sanhuang decoction in diabetic foot ulcers.","authors":"Bo Wu, Xiaohong Lan, Yang Yang, Yuekun Wang","doi":"10.1080/10255842.2025.2506798","DOIUrl":"10.1080/10255842.2025.2506798","url":null,"abstract":"<p><p>This study aims to systematically and comprehensively elucidate the mechanism of action of Sanhuang decoction (SHD) in the treatment of diabetic foot ulcers (DFUs). The active ingredients and potential targets of SHD, as well as the human targets associated with DFUs, were obtained from various databases, including TCMSP, GeneCards, OMIM, PharmGKB, DrugBank, and others. STRING, Cytoscape 3.10.1, and Metascape were utilized for a series of network constructions and module analyses of common targets. Subsequently, the pivotal targets were chosen for molecular docking with the principal active constituents. A comprehensive screening of 59 active compounds and 447 targets associated with SHD was conducted, resulting in the identification of 182 intersection targets. Notably, key targets involved in this study included IL10, CCL2, IL6, IFNG, IL1B, CXCL8, IL2, CXCL10, IL1A, and TNF. It found that SHD was rich in various active ingredients that regulate the targets of DFUs. Molecular dynamics simulations indicate that β-sitosterol, stigmasterol, and 5,8,2'-trihydroxy-7-methoxyflavone bind tightly to IL2. Our study provides preliminary insights into the modulatory effects of SHD on DFUs and identifies SHD as an effective strategy for treating DFUs through multi-component and multi-target modulation of the inflammatory response. Subsequent trials will be conducted to confirm that the above findings are expected to help improve personalized treatment for patients with DFUs.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3167-3184"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128735","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
AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes. 运动员髋关节形态评估的ai集成三维成像和建模。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-12 DOI: 10.1080/10255842.2025.2502828
Jiaju Zhu, Zijun Ye, Zhong Zhang, Junyi Liu, Syed Luqman Ali
{"title":"AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes.","authors":"Jiaju Zhu, Zijun Ye, Zhong Zhang, Junyi Liu, Syed Luqman Ali","doi":"10.1080/10255842.2025.2502828","DOIUrl":"10.1080/10255842.2025.2502828","url":null,"abstract":"<p><p>Hip injuries are a prevalent concern among athletes, often resulting in significant declines in performance and overall quality of life. Conventional treatment modalities for hip morphological abnormalities come with inherent limitations, necessitating a deeper exploration of innovative approaches to address these challenges. This research aims to investigate the potential of 3D technology in reducing hip morphology and enhancing structural integrity among athletes, thereby offering novel solutions to mitigate the impact of hip injuries within the athletic community. Utilizing advanced imaging techniques and state-of-the-art 3D mimics software and AI HIP, this study endeavors to generate precise 3D models of athletes' hip structures. These models serve as the foundation for the fabrication of customized implants or orthotics using biocompatible materials, meticulously tailored to meet the unique anatomical needs of individual athletes. The results of this study demonstrate the effectiveness of 3D technology in reducing hip morphology and enhancing structural integrity among athletes. Through the utilization of advanced imaging techniques, AI HIP and 3D mimics software, precise 3D models of athletes' hip structures were successfully generated. Subsequently, customized implants or orthotics fabricated using biocompatible materials were shown to be tailored to individual athletes' anatomical needs. This study highlights the transformative potential of 3D in revolutionizing hip injury prevention and treatment among athletes. Through advanced imaging and innovative software, customized solutions can address hip abnormalities, enhancing performance and quality of life. This research opens avenues for further exploration of 3D technology in sports medicine, providing tailored interventions to improve clinical outcomes for athletes.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3080-3090"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044111","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 changes of upper airway flow in adolescents with maxillary cleft before and after bone grafting and orthodontic treatment: a CFD simulation study. 上颌裂青少年植骨及正畸治疗前后上呼吸道流量变化的CFD模拟研究
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-12 DOI: 10.1080/10255842.2025.2503469
Zhichen Yang, Mingqian Mao, Qingyi Li, Xiaoyu Ni
{"title":"The changes of upper airway flow in adolescents with maxillary cleft before and after bone grafting and orthodontic treatment: a CFD simulation study.","authors":"Zhichen Yang, Mingqian Mao, Qingyi Li, Xiaoyu Ni","doi":"10.1080/10255842.2025.2503469","DOIUrl":"10.1080/10255842.2025.2503469","url":null,"abstract":"<p><p>This study used CFD to analyze upper airway airflow in a 14-year-old girl with a unilateral incomplete maxillary cleft across three stages: before surgery, after bone grafting, and after orthodontic treatment. Results revealed that the maxillary cleft affected the airway volume. Post-surgery and orthodontics, airway cross-sectional areas changed and turbulence in nasopharynx/oropharynx reduced; One year post-orthodontics, nasal airflow velocity normalized (5.032 m/s vs. healthy adolescents' 5.024 m/s); the shear stress distribution improved, and total pressure drop from the nostrils to the pharynx was 20.64 Pa, close to healthy adolescents' 20.69 Pa. These findings indicate that respiratory function normalized after treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3091-3104"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144025458","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 frontiers of intelligent health services: cardiovascular disease prediction using novel machine learning methods and metaheuristic algorithm. 智能健康服务的前沿：使用新型机器学习方法和元启发式算法预测心血管疾病。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-13 DOI: 10.1080/10255842.2025.2502823
Fande Kong, Zhengyi Song, Qijia Liu
{"title":"The frontiers of intelligent health services: cardiovascular disease prediction using novel machine learning methods and metaheuristic algorithm.","authors":"Fande Kong, Zhengyi Song, Qijia Liu","doi":"10.1080/10255842.2025.2502823","DOIUrl":"10.1080/10255842.2025.2502823","url":null,"abstract":"<p><p>Cardiovascular disease (CVD) significantly impacts global mortality and aging. Effective risk assessment relies on models like Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA), which consider genetic, lifestyle, medical, and demographic factors. These models improve significantly when combined with optimization techniques like the Golf Optimization Algorithm (GOA) and Leader Harris Hawk's Optimization (LHHO), leading to more accurate predictions and better early intervention. According to empirical investigation, the LDGO model, obtained by integrating the LDA model with the GOA optimizer, is the most productive model, with accuracy values of 0.948 in the training phase and 0.946 in the test phase. According to empirical investigation, the LDGO model, obtained by integrating the LDA model with the GOA optimizer, is the most productive model, with accuracy values of 0.948 in the training phase and 0.946 in the test phase.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3061-3079"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059819","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
Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation. 多模态呼吸暂停检测：通过卷积神经网络和STFT分析脑电图、心电图和鼻信号来解决创新中的关键挑战。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-06-08 DOI: 10.1080/10255842.2025.2510367
Mandana Sadat Ghafourian, Amin Noori, Shaghayegh Taghipour, Amin Ramezani
{"title":"Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation.","authors":"Mandana Sadat Ghafourian, Amin Noori, Shaghayegh Taghipour, Amin Ramezani","doi":"10.1080/10255842.2025.2510367","DOIUrl":"10.1080/10255842.2025.2510367","url":null,"abstract":"<p><p>Sleep apnea is a prevalent chronic disorder posing significant health risks, requiring prompt diagnosis for effective treatment. This study introduces a reliable and efficient method using simultaneous electroencephalography (EEG), electrocardiography (ECG), and nasal airflow signals to distinguish apnea subtypes. The approach involves signal preprocessing with bandpass filtering and applying the short-time Fourier transform (STFT) to create spectrograms for 30-second segments. A convolutional neural network (CNN) classifies normal events, obstructive sleep apnea (OSA), central sleep apnea (CSA), and hypopnea. Results show our method achieved 98.01% accuracy, highlighting its potential to enhance personalized care for sleep apnea patients.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3225-3235"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250671","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
A novel approach for enhanced early breast cancer detection. 一种增强早期乳腺癌检测的新方法。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-09-02 DOI: 10.1080/10255842.2025.2553347
Şeyma Aymaz, Samet Aymaz
{"title":"A novel approach for enhanced early breast cancer detection.","authors":"Şeyma Aymaz, Samet Aymaz","doi":"10.1080/10255842.2025.2553347","DOIUrl":"10.1080/10255842.2025.2553347","url":null,"abstract":"<p><p>Breast cancer is a leading cause of women's mortality globally, with early diagnosis crucial for survival. This study addresses diagnostic challenges including imbalanced, noisy datasets and irrelevant features using Wisconsin Diagnostic Breast Cancer (WDBC) and Wisconsin Breast Cancer Database (WBCD) datasets. The proposed approach integrates Custom Adaptive Teaching-Learning-Based Optimization (TLBO) for optimal feature selection and a novel Focal Long Short-Term Memory (Focal LSTM) network to handle imbalanced data effectively. Performance evaluation using accuracy, precision, sensitivity, specificity, F-score, and AUC metrics demonstrates significant improvements. This innovative machine learning approach successfully addresses dataset limitations, contributing robust and accessible diagnostic solutions for healthcare applications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3007-3031"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977275","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
Second-order advantage to quantify uric acid and ascorbic acid in blood serum by β-cyclodextrin inclusion complexation. β-环糊精包合定量血清中尿酸和抗坏血酸的二级优势。
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: 10.1080/10255842.2025.2505650
Abdollah Yari, Saba Rashnoo, Mansoureh Yari
{"title":"Second-order advantage to quantify uric acid and ascorbic acid in blood serum by β-cyclodextrin inclusion complexation.","authors":"Abdollah Yari, Saba Rashnoo, Mansoureh Yari","doi":"10.1080/10255842.2025.2505650","DOIUrl":"10.1080/10255842.2025.2505650","url":null,"abstract":"<p><p>The complexes formed between β-cyclodextrin (β-CD) and uric acid (UA) as well as ascorbic acid (AA) were examined utilizing parallel factor analysis (PFA) as a second-order calibration method (SOCM) for their quantification in blood serum samples. The second-order data were derived from the variations in spectral absorption changes associated with the β-CD complex signals. A three-dimensional dataset was created by stacking the data along the third dimension, which was analyzed by SOCM for determination of UA and AA. Validation of the method was achieved through comparison with HPLC. The findings indicated that the PFA method exhibited remarkable predictive capabilities. Figures of merit were calculated to highlight its potential as a viable alternative for the quantification of UA and AA, even in the presence of unforeseen or untemplated interferents, without necessitating any sample pretreatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3130-3140"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081718","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 effect of screw configuration of tubular bone plate on the biomechanics of oblique lateral malleolar fractures. 管状骨板螺钉配置对斜外踝骨折生物力学的影响。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-12 DOI: 10.1080/10255842.2025.2502815
Tianqi Wang, Xinyuan Shi, Shuanzhu Wang, Yongzhi Gong, Haiquan Feng
{"title":"The effect of screw configuration of tubular bone plate on the biomechanics of oblique lateral malleolar fractures.","authors":"Tianqi Wang, Xinyuan Shi, Shuanzhu Wang, Yongzhi Gong, Haiquan Feng","doi":"10.1080/10255842.2025.2502815","DOIUrl":"10.1080/10255842.2025.2502815","url":null,"abstract":"<p><p>To investigate the biomechanical effects of varying physiological conditions and tubular plate screw configurations on the stability of lateral malleolar fractures. In this paper, different models were constructed for finite element analysis based on Computed Tomography (CT) data. The results showed that the biomechanical characteristics of the fixation method combining a tubular plate with 6 screws were optimal. The fixation methods showed significantly higher stability in dorsiflexion positions compared to neutral and plantarflexion positions. These findings provide valuable theoretical guidance for clinical selection of fixation methods for lateral malleolar fractures and rehabilitation training.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3047-3060"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042050","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
A novel fractional computational neural framework for analyzing cancer model under chemotherapy drug. 一种用于化疗药物作用下肿瘤模型分析的新型分数计算神经框架。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-26 DOI: 10.1080/10255842.2025.2508227
Muhammad Farhan, Zhi Ling, Jie Ding, Zahir Shah, Robert Daniel Dobrotă
{"title":"A novel fractional computational neural framework for analyzing cancer model under chemotherapy drug.","authors":"Muhammad Farhan, Zhi Ling, Jie Ding, Zahir Shah, Robert Daniel Dobrotă","doi":"10.1080/10255842.2025.2508227","DOIUrl":"10.1080/10255842.2025.2508227","url":null,"abstract":"<p><p>In this study, a novel Caputo fractional-order model is proposed to represent the complex interactions among stem cells, effector cells, and tumor cells, considering both scenarios of chemotherapy. Furthermore, the proposed model, which incorporates treatment with effective chemotherapy, is thoroughly examined. The necessary properties, including the positivity and equilibrium points, as well as the local asymptotic stability analysis, are investigated. Additionally, the existence and uniqueness of solutions for the proposed model are thoroughly analyzed. We perform a thorough assessment of the solutions produced by the deep neural network by comparing them against established benchmarks and carefully analyzing them through testing, validation, training, error distribution analysis, and regression analysis. The temporal concentration pattern of stem, effector and tumor cells as well as chemotherapy drugs are examined. It is noted that chemotherapy leads to a decrease in tumor cell density over time, which extends the period required to achieve equilibrium. The decay rates of stem cells and tumor cells are recognized as essential elements affecting cancer dynamics. Furthermore, the integration of fractional orders is found to be important for precisely depicting the concentrations of cancer cells.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3192-3210"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152798","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
A new particle swarm optimization-enhanced deep neural network for automatic ECG arrhythmias classification. 基于粒子群优化的心电心律失常自动分类深度神经网络。
IF 1.9 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-08 DOI: 10.1080/10255842.2025.2501635
Yaaqoub Kahlessenane, Fatiha Bouaziz, Patrick Siarry
{"title":"A new particle swarm optimization-enhanced deep neural network for automatic ECG arrhythmias classification.","authors":"Yaaqoub Kahlessenane, Fatiha Bouaziz, Patrick Siarry","doi":"10.1080/10255842.2025.2501635","DOIUrl":"10.1080/10255842.2025.2501635","url":null,"abstract":"<p><p>This study proposes an ECG classification system using particle swarm optimization (PSO) for automated deep neural network hyperparameter tuning. PSO optimizes five key parameters: neuron counts in two fully connected layers, dropout rate, learning rate, and optimizer selection. ECG signals undergo wavelet decomposition for feature extraction, with classification performed on the MIT-BIH Arrhythmia Database across five heartbeat classes. The PSO-optimized model achieves superior performance with 99.76% accuracy, 99.34% precision, and 99.21% F1 score, demonstrating PSO's effectiveness in improving model reliability while reducing manual effort.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3032-3046"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051147","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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