Biomechanics and Modeling in Mechanobiology最新文献_第10页

Ovarian hormones attenuate right ventricular remodeling in a rat model of pulmonary arterial hypertension 卵巢激素在肺动脉高压大鼠模型中减轻右心室重构。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-17 DOI: 10.1007/s10237-025-02033-7

Becky A. Hardie, Jessica Huberts, Michael Bennington, Daniela Valdez-Jasso

{"title":"Ovarian hormones attenuate right ventricular remodeling in a rat model of pulmonary arterial hypertension","authors":"Becky A. Hardie, Jessica Huberts, Michael Bennington, Daniela Valdez-Jasso","doi":"10.1007/s10237-025-02033-7","DOIUrl":"10.1007/s10237-025-02033-7","url":null,"abstract":"<div><p>Pulmonary arterial hypertension (PAH) induces chronic pressure overload on the right ventricle (RV), leading to progressive remodeling and eventual failure. While PAH is more prevalent in women overall, men and postmenopausal women have worse clinical outcomes. Here, we investigated how sex and ovarian hormones influence RV remodeling during the progression of PAH. Using the sugen–hypoxia (SuHx) rat model, we assessed RV hemodynamics, tissue mechanics, and collagen composition in male, ovary-intact female, and ovariectomized (OVX) female rats across four disease stages. While all three groups experienced elevated pulmonary and ventricular pressures and rapidly responded with hypertrophy and stiffening, RV remodeling progressed differently in the absence of ovarian hormones. Male and OVX rats exhibited marked increases in end-diastolic pressure and myocardial stiffness, as well as higher chamber elastances. Ovary-intact female rats largely preserved diastolic function with milder stiffening. Collagen accumulation was observed in all groups, but only male and OVX rats exhibited significant elevations in pyridinoline cross-linking—aligning with the most severe additional mechanical changes, namely increased passive stiffness. This suggests that ovarian hormones moderate the severity of SuHx-induced RV remodeling by limiting myocardial stiffening and collagen cross-linking. These findings emphasize the need to consider sex and hormonal status in preclinical PAH research and suggest that extracellular matrix cross-linking may be a targetable contributor to maladaptive right heart remodeling.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Engineering the human tympanic membrane: lessons from mechanics, modelling, and materials 工程人类鼓膜：从力学，建模和材料的教训。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-16 DOI: 10.1007/s10237-025-02032-8

Sylvi F. R. Irnadiastputri, Yasna M. Tiurma, Siti F. Rahman, Buntara S. Gan, Puspita A. Katili

{"title":"Engineering the human tympanic membrane: lessons from mechanics, modelling, and materials","authors":"Sylvi F. R. Irnadiastputri, Yasna M. Tiurma, Siti F. Rahman, Buntara S. Gan, Puspita A. Katili","doi":"10.1007/s10237-025-02032-8","DOIUrl":"10.1007/s10237-025-02032-8","url":null,"abstract":"<div><p>The tympanic membrane (TM) plays a pivotal role in auditory transduction by converting acoustic signals into mechanical energy. Damage to the TM, whether from chronic perforations, infections, trauma, or pathological changes such as tympanosclerosis, can significantly impair its biomechanical function and lead to conductive hearing loss. Tympanoplasty remains the standard intervention, traditionally utilising autologous grafts such as temporalis fascia or cartilage. However, these biological materials present limitations, including donor site morbidity, variable mechanical properties, and potential for long-term resorption. To overcome these challenges, synthetic scaffolds engineered from polymers such as polylactic acid (PLA), polycaprolactone (PCL), and silk fibroin have emerged as promising alternatives. This review provides a comprehensive examination of the mechanical characteristics of both healthy and diseased tympanic membranes, offering insights into their structural integrity and mechanical performance. Emphasis is placed on key parameters such as thickness, Young’s modulus, tensile strength, strain tolerance, and viscoelastic behaviour, drawing from ex vivo and in vivo studies. The discussion extends to computational strategies, particularly finite element modelling (FEM) and inverse FEM, which enable accurate simulation of TM responses under physiological and pathological conditions. By linking empirical mechanical data with computational analyses, this review supports the rational design of synthetic grafts that closely mimic native tissue properties. Additionally, emerging trends in TM tissue engineering, including 3D printing and biomimetic scaffolds, are also highlighted for their potential to improve surgical outcomes in tympanoplasty.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145761879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Uncertainty quantification for patient-specific domain in virtual aortic procedures: application to thoracic endovascular aortic repair 虚拟主动脉手术中患者特异性领域的不确定性量化：应用于胸椎血管内主动脉修复。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-14 DOI: 10.1007/s10237-025-02036-4

Vittorio Lissoni, Anna Ramella, Giulia Luraghi, Puck Stassen, Wouter Huberts, Santi Trimarchi, Francesco Migliavacca, Jose Felix Rodriguez Matas

{"title":"Uncertainty quantification for patient-specific domain in virtual aortic procedures: application to thoracic endovascular aortic repair","authors":"Vittorio Lissoni, Anna Ramella, Giulia Luraghi, Puck Stassen, Wouter Huberts, Santi Trimarchi, Francesco Migliavacca, Jose Felix Rodriguez Matas","doi":"10.1007/s10237-025-02036-4","DOIUrl":"10.1007/s10237-025-02036-4","url":null,"abstract":"<p>Simulating medical procedures requires accounting for inherent uncertainty in many numerical model parameters, such as material properties. Evaluating the impact of these uncertainties is crucial for identifying parameters needing precise definition and correctly interpreting simulation results. This study explores how uncertainties in modelling the aorta affect finite element outcomes of a thoracic endovascular aortic repair (TEVAR) procedure. Based on literature data, aortic wall thickness and mechanical properties were identified as the most uncertain. The aorta was modelled using shell elements with homogeneous thickness and assumed to behave as a linear elastic isotropic material. A design of experiments approach was used for uncertainty quantification and sensitivity analysis: wall thickness and Young’s modulus were varied over 11 levels in a full factorial design, resulting in 121 simulations. Uncertainty was quantified using statistical metrics such as mean, standard deviation, coefficient of variation, and 95% confidence intervals. Results indicate wall thickness significantly affects aortic wall stress (σ<sub>aorta</sub>), with minimal influence on stent stress (σ<sub>stent</sub>) and device opening area (OA). Conversely, Young’s modulus has limited impact on σ<sub>aorta</sub> but affects σ<sub>stent</sub> and OA to a greater extent. The highest uncertainty was observed in σ<sub>aorta</sub> (~ 25% coefficient of variation), while σ<sub>stent</sub> and OA showed lower variability (2.6% and 6.9%, respectively). These findings suggest that, in this model, accurate wall thickness definition is more critical than precise Young’s modulus for reducing uncertainty in wall stress predictions. Therefore, literature-based averages for Young’s modulus may be sufficient for simulating this procedure.</p>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12702809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145754820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heat and low-density lipoprotein transfer in healthy aorta using fluid–structure interaction method 热与低密度脂蛋白在健康主动脉中的转移应用流固相互作用方法。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-13 DOI: 10.1007/s10237-025-02021-x

Yonghui Qiao, Su Wang, Hengjie Guo, Jianren Fan, Kun Luo

{"title":"Heat and low-density lipoprotein transfer in healthy aorta using fluid–structure interaction method","authors":"Yonghui Qiao, Su Wang, Hengjie Guo, Jianren Fan, Kun Luo","doi":"10.1007/s10237-025-02021-x","DOIUrl":"10.1007/s10237-025-02021-x","url":null,"abstract":"<div><p>The abnormal accumulation of low-density lipoprotein (LDL) can lead to aortic atherosclerosis. However, the aortic LDL transfer and its relationship with hemodynamics are still not fully explored. This study aims to reveal the mechanism of heat and LDL transfer in healthy aortas, leveraging a fluid–structure interaction (FSI) model. Two healthy aortic geometry models were reconstructed based on clinical computed tomography angiography images. The flow rate used as the inlet boundary condition was taken from another previous publication, and non-invasive blood pressure measurement data were exploited to determine the parameters of the three-element Windkessel model for boundary conditions of the aortic outlets. The aortic wall was assumed to be uniform in thickness, and the hyperelastic material was simulated by Yeoh second-order model. Our two-way FSI method was further developed to predict the heat and LDL transfer. Results show that the correlation coefficients of time-averaged LDL, temperature, and wall shear stress (WSS)-related indices between the rigid and hyperelastic aortic wall are high (> 0.914) except for the topological shear variation index (TSVI). The interaction between the blood flow and the aortic wall is suggested to be considered to accurately capture the distribution of oscillatory shear index, relative residual time (RRT), and TSVI. Besides, we find that there is a positive correlation (> 0.596) between the concentration of LDL and aortic wall temperature. The long RRT region also coincides with the high LDL area, which negatively correlates with WSS and TSVI. This study demonstrates the heat and LDL transfer in healthy aortas using the FSI model, and the findings would inform novel strategies to measure LDL concentration and regulate its accumulation.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145740154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Large-scale modeling of axonal dynamic responses via deep learning 基于深度学习的轴突动态响应大规模建模

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-12 DOI: 10.1007/s10237-025-02034-6

Chaokai Zhang, Adam Clansey, Lara Bartels, Daniel Bondi, Julian Kloiber, Alexander Jaffray, Paul van Donkelaar, Alexander Rauscher, Lyndia Wu, Songbai Ji

{"title":"Large-scale modeling of axonal dynamic responses via deep learning","authors":"Chaokai Zhang, Adam Clansey, Lara Bartels, Daniel Bondi, Julian Kloiber, Alexander Jaffray, Paul van Donkelaar, Alexander Rauscher, Lyndia Wu, Songbai Ji","doi":"10.1007/s10237-025-02034-6","DOIUrl":"10.1007/s10237-025-02034-6","url":null,"abstract":"<div><p>Large-scale axonal dynamic simulation is critical to study white matter injury but is prohibitive in computational cost. We solve this challenge by training a convolutional neural network (CNN) that takes fiber strain profiles as inputs to instantly estimate multimodal axonal injury parameters. First, tractography-based fiber strains are derived based on subject-specific simulations of N = 46 head impacts from a male ice hockey player. To generate the minimum training dataset, the brain is subdivided into coarse cubes (isotropic resolution of 6 mm; N = 4979 voxels). A stratified (one sample per cube) and adaptive (by controlling a similarity threshold) sampling strategy is devised to iteratively identify the most distinct profiles from N = 45 head impacts used for training (with the remaining one reserved for independent validation). They serve as the input to a male axonal injury model for simulation. A CNN is then trained to estimate the peak strains in microtubule and axolemma as well as the failure percentages of tau proteins and neurofilaments. The CNN is cross-validated to determine the minimum training samples of N = 2000 to reach <span>({R}^{2})</span>>0.90. Under the “worst case scenario” for independent validation (N = 75 testing samples identified), the CNN achieves an <span>({R}^{2})</span> of 0.91–0.98 and a normalized root mean-squared error (NRMSE) of 2.7–5.0%. Finally, we showcase the CNN by generating high-resolution multimodal axonal responses for the entire white matter within 12 s (isotropic resolution of 2 mm with ~ 92,500 voxels), vs. an estimated ~ 12 years using conventional direct simulations (~ 31.5-million-fold efficiency gain). This study demonstrates the potential of deep learning to enable large-scale mechanistic investigations of white matter injury in the future.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 numerical framework for preprocedural prosthetic valve positioning and hemodynamic evaluation 手术前人工瓣膜定位和血流动力学评估的数值框架

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-12 DOI: 10.1007/s10237-025-02025-7

Jonas Lantz, Jeremy D. Collins, Shuai Leng, Cynthia H. McCollough, Anders Persson, Tino Ebbers

{"title":"A numerical framework for preprocedural prosthetic valve positioning and hemodynamic evaluation","authors":"Jonas Lantz, Jeremy D. Collins, Shuai Leng, Cynthia H. McCollough, Anders Persson, Tino Ebbers","doi":"10.1007/s10237-025-02025-7","DOIUrl":"10.1007/s10237-025-02025-7","url":null,"abstract":"<div><p>Aortic valve replacement is a cornerstone treatment for severe aortic valve diseases, including stenosis and regurgitation. Suboptimal valve seating can elevate the transvalvular pressure gradient, while valve orientation and size may produce flow jets that impinge on the ascending aorta, potentially weakening the vessel wall. Such hemodynamic complications can compromise valve performance and patient outcomes. This study presents a computational fluid dynamics framework, derived from medical CT images, for preprocedural hemodynamic assessment of aortic valve replacement. The framework minimizes user input and delivers rapid results, enabling efficient evaluation of valve types, orientations, and their hemodynamic impact. The results demonstrate that non-optimal implantation angles substantially increase pressure drop across the valve, thereby imposing higher workload on the heart. This automated and efficient simulation framework demonstrates strong potential for clinical application, supporting precise planning and execution of valve implantation procedures to improve patient care.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-025-02025-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An in silico mechanoregulatory model of depth-dependent adaptations to mechanical loading in intact and damaged cartilage: a proof of concept study 在完整和受损软骨中深度依赖的机械负荷适应的硅机械调节模型：概念研究的证明

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-12 DOI: 10.1007/s10237-025-02027-5

Seyed Ali Elahi, Rocio Castro-Viñuelas, Petri Tanska, Lauranne Maes, Nele Famaey, Rami K. Korhonen, Ilse Jonkers

{"title":"An in silico mechanoregulatory model of depth-dependent adaptations to mechanical loading in intact and damaged cartilage: a proof of concept study","authors":"Seyed Ali Elahi, Rocio Castro-Viñuelas, Petri Tanska, Lauranne Maes, Nele Famaey, Rami K. Korhonen, Ilse Jonkers","doi":"10.1007/s10237-025-02027-5","DOIUrl":"10.1007/s10237-025-02027-5","url":null,"abstract":"<div><p>Osteoarthritis induces profound structural degeneration of articular cartilage, with existing treatments remaining largely ineffective. This study pioneers a mechanoregulatory model utilizing histology-based finite element analysis to predict depth-dependent glycosaminoglycan (GAG) adaptations in both intact and damaged human cartilage under mechanical loading. Uniquely calibrated through rigorous one-week longitudinal in vitro experiments in intact cartilage, our model correctly predicts depth-dependent GAG content adaptation, also in damaged cartilage. Notably, the model reveals potential effects of fluid velocity and dissipated energy on an increase in GAG content, while highlighting the degenerative effects of maximum shear strain under physiological loading conditions. Interestingly, it replicates enhanced GAG production in damaged cartilage, consistent with our experimental observations. Beyond advancing the fundamental understanding of mechanical loading in cartilage homeostasis, this innovative model offers a robust platform for in silico trials, enabling the development of personalized rehabilitation protocols to optimize mechanical loading strategies for degenerative joint diseases. Our work represents a significant leap forward in leveraging computational tools to address the challenges of osteoarthritis treatment. All findings are based on human explants from one donor and should be interpreted as preliminary proof-of-concept.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"25 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-025-02027-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomechanical modeling of glioblastoma progression: a comprehensive review from classic mathematical frameworks to data-driven strategies 胶质母细胞瘤进展的生物力学建模：从经典数学框架到数据驱动策略的全面回顾

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-12-11 DOI: 10.1007/s10237-025-02028-4

Mohammadreza Ghahramani, Omid Bavi

引用次数: 0

Nonlinear anisotropic constitutive description of the human basilic vein and comparison with the vein of the lower limb 人体基底静脉的非线性各向异性本构描述及其与下肢静脉的比较。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-10-29 DOI: 10.1007/s10237-025-02014-w

Nikola Petrová, Zbyněk Sobotka, Lukáš Horný, Karel Filip, Jiří Urban

{"title":"Nonlinear anisotropic constitutive description of the human basilic vein and comparison with the vein of the lower limb","authors":"Nikola Petrová, Zbyněk Sobotka, Lukáš Horný, Karel Filip, Jiří Urban","doi":"10.1007/s10237-025-02014-w","DOIUrl":"10.1007/s10237-025-02014-w","url":null,"abstract":"<div><p>The number of patients undergoing hemodialysis has been steadily increasing in recent decades. Arteriovenous fistula (AVF) is the gold standard for ensuring vascular access in these patients. Despite the prominent role of AVFs in hemodialysis treatment, their maturation and long-term functionality continue to pose challenges as less than a third of fistulas remain patent without further interventions in a 3-year follow-up. Computational biomechanics has become an essential tool for clarifying mechanical conditions accompanying the pathogenesis of various vascular complications, including suboptimal maturation and AVF stenosis. Constitutive description plays a crucial role in the design of computational models and without it simulations remain only at the rigid tube level. However, literature on the mechanical properties and constitutive modeling of upper extremity veins is lacking. This study aims to fill this gap by characterizing the mechanical properties of the human basilic vein (BV) and comparing it to the great saphenous vein (GSV). Uniaxial tensile tests in two perpendicular directions were used to obtain the mechanical response of the tissue. The results suggest that BVs do not significantly differ from GSVs in their elastic properties expressed by means of the tangent modulus. Overall anisotropy, understood as the difference in elastic moduli obtained in different directions, seems to be reduced in BVs. The 4-fiber family exponential model of the strain energy density function was adopted to fit the experimental data. The model fitted the data well, as suggested by the coefficients of determination <i>R</i><sup>2</sup>, which ranged from 0.97 to 0.99 for the majority of the average curves. The resulting parameter values can be used within the modeling of the mechanical behavior of veins in computational simulations of vascular access performance.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"24 6","pages":"2251 - 2263"},"PeriodicalIF":2.7,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10237-025-02014-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145399459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Finite element analysis of the interaction between high-compliant balloon catheters and non-cylindrical vessel structures: towards tactile sensing balloon catheters 修正：高柔性球囊导管与非圆柱形血管结构相互作用的有限元分析：面向触觉传感球囊导管。

IF 2.7 3区医学

Biomechanics and Modeling in Mechanobiology Pub Date : 2025-10-27 DOI: 10.1007/s10237-025-02017-7

Ashish Bhave, Benjamin Sittkus, Gerald Urban, Ulrich Mescheder, Knut Möller

引用次数: 0