Medicine in Novel Technology and Devices最新文献

{"title":"In-vitro study of arterial vessel stiffness on wall shear stress reversal under physiological pulsatile flow conditions","authors":"Jianqiang Jiao,&nbsp;Yanxing Wang,&nbsp;Fangjun Shu","doi":"10.1016/j.medntd.2025.100424","DOIUrl":"10.1016/j.medntd.2025.100424","url":null,"abstract":"<div><div>This study investigates the impact of arterial stiffness on wall shear stress (WSS) reversal, a critical factor in vascular health and disease. The cardiovascular system's endothelial cells respond to mechanical stimuli, such as WSS, which influences vascular remodeling and the pathogenesis of cardiovascular diseases. Our hypothesis posits that increased arterial stiffness exacerbates WSS reversal, potentially affecting endothelial cell behavior. To test this, we conducted in-vitro experiments using transparent elastic tubings with varying stiffness to simulate arteries. A gear pump generated pulsatile flow, and 2D particle image velocimetry (PIV) was employed to measure velocity fields and calculate WSS. Our findings confirm that stiffer arteries lead to greater WSS reversal, highlighting the mechanobiological pathways linking arterial stiffness to vascular disease. The study also demonstrates that softer arteries dampen flow pulsatility, reducing the magnitude and duration of negative WSS. These results have significant implications for understanding the mechanistic pathways of vascular diseases and developing therapeutic strategies to mitigate the adverse effects of arterial stiffness. Future research should delve into the molecular mechanisms underlying endothelial responses to WSS reversal and explore potential interventions to preserve vascular health in the context of arterial stiffness. This work contributes to the growing body of evidence emphasizing the importance of mechanical forces in vascular biology and offers insights into the relationship between arterial stiffness and endothelial function.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100424"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ECMO-associated hemolysis: Advances in mechanisms and clinical management","authors":"Xinyu Liu,&nbsp;Yuan Li,&nbsp;Chenlu Wang,&nbsp;Hongyu Wang,&nbsp;Yifeng Xi,&nbsp;Anqiang Sun,&nbsp;Xiaoyan Deng,&nbsp;Zengsheng Chen,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2025.100419","DOIUrl":"10.1016/j.medntd.2025.100419","url":null,"abstract":"<div><div>Extracorporeal membrane oxygenation (ECMO) is a crucial life-support technology in critical care. However, ECMO can lead to severe complications, including hemolysis, and the underlying causes and molecular mechanisms of hemolysis are not well understood. This review systematically synthesizes prior research to elucidate hemolytic mechanisms and associated complications in ECMO therapy. We systematically investigated the effects of mechanical damage, material biocompatibility, blood component interactions, and clinical treatment on erythrocyte damage during ECMO support. This paper integrates biomechanical quantification of shear stress thresholds, and material science evaluation of surface-protein adsorption dynamics, and clinical observations of hemolysis patterns, conducted from biomechanical, material science and clinical perspectives. Based on these insights, we propose optimal ECMO design strategies and clinical measures to mitigate hemolysis. We further propose integrating intelligent biosensors, hemodynamically optimized circuits, and next-generation biomaterials to enhance real-time biocompatibility monitoring and therapeutic management.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100419"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of joint moment in lower limbs based on deep learning and multimodal data","authors":"Ronghui Cao ,&nbsp;Yuan Guo ,&nbsp;Xushu Zhang ,&nbsp;Changjiang Wang ,&nbsp;Yunpeng Wen ,&nbsp;Wenteng Liu ,&nbsp;Kai Zhang ,&nbsp;Binping Ji ,&nbsp;Weiyi Chen","doi":"10.1016/j.medntd.2025.100422","DOIUrl":"10.1016/j.medntd.2025.100422","url":null,"abstract":"<div><div>This study aimed to predict the moments at the hip, knee, and ankle joints in multiple planes during various movements. A deep learning model was developed using a bidirectional long short-term memory network (BiLSTM) combined with an agent attention mechanism (AA). Multimodal data were collected from 20 young subjects, including anthropometric data, joint angles, electromyographic signals, and ground reaction forces. The corresponding joint moments were calculated using Anybody motion simulation software. These data were used as input to the BiLSTM-AA model for joint moment prediction. Different input combinations and dimensionality reduction methods were compared. The best results were obtained by integrating anthropometric data, joint angles, and ground reaction forces. In cross-subject tests, the model showed high accuracy, with a mean absolute error of 0.0395 Nm/kg, root mean square error of 0.0579 Nm/kg, and a coefficient of determination of 0.9117. The model also performed well after reducing input dimensions. In summary, the BiLSTM-AA model predicts lower limb joint moments accurately across activities. This may simplify real-world data collection and help provide solid evidence for rehabilitation planning and assessment.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100422"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of control methods for flexible steerable needle path","authors":"Lu Yu ,&nbsp;Lizhen Wang","doi":"10.1016/j.medntd.2026.100426","DOIUrl":"10.1016/j.medntd.2026.100426","url":null,"abstract":"<div><div>Flexible steerable needle puncture is a key technique in minimally invasive surgery and has brought about significant changes in clinical surgical applications. However, precise control of the needle's path remains a central challenge, hindering its broader clinical adoption. In this review, the main obstacles in clinical path control, the uncertainty during puncture, were identified. Then, key factors influencing the needle path and methods for modeling the puncture process were summarized. The control strategies were categorized into passive control methods, active control methods, hybrid control methods, and their respective strengths and limitations were analyzed. Hybrid control methods integrate the advantages such as controllability, flexibility, security of the active and passive methods. Furthermore, emerging trends are discussed in the application of bionic structures, real-time imaging techniques, and AI driven algorithms in enhancing the controllability of flexible steerable needle and improving control accuracy and prediction.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100426"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuroform Atlas single-stent coiling for wide-neck MCA bifurcation aneurysms: a retrospective single-centre case series","authors":"Zhiyong Huang ,&nbsp;Bing Huang ,&nbsp;Jianlei An ,&nbsp;Hao Sun ,&nbsp;Shuchao Chen ,&nbsp;Jiaxi Liu ,&nbsp;Dejiang Guo ,&nbsp;Lei Liu","doi":"10.1016/j.medntd.2025.100417","DOIUrl":"10.1016/j.medntd.2025.100417","url":null,"abstract":"<div><h3>Background</h3><div>Wide-neck aneurysms at the middle cerebral artery (MCA) bifurcation pose a recognized challenge for endovascular treatment. Y- or X-stent configurations can reconstruct the bifurcation but increase procedural complexity and complication risk. The Neuroform Atlas is a low-profile, open-cell stent that allows single-stent neck reconstruction through 0.0165-inch microcatheters. Evidence on its performance in Chinese patients remains limited.</div></div><div><h3>Methods</h3><div>We conducted a retrospective, single-centre case series of 15 consecutive patients with wide-neck MCA bifurcation aneurysms treated with Neuroform Atlas stent-assisted coiling at the Aviation General Hospital (Beijing, China) between October 2023 and February 2025. Inclusion criteria were aneurysm neck &gt;4 ​mm or dome-to-neck ratio &lt;1.5, age 18–75 years and ability to comply with follow-up; both ruptured (Hunt–Hess I–III) and unruptured aneurysms were included. Fourteen aneurysms were treated with a single stent and one required Y-stenting. The primary endpoint was complete occlusion (Raymond grade I) at 6-month angiographic follow-up; secondary endpoints included periprocedural thromboembolic or haemorrhagic events, functional outcome measured by the modified Rankin Scale (mRS) and the need for retreatment. Data were summarised descriptively.</div></div><div><h3>Results</h3><div>Patients had a median age of 61 years (range 30–75 years) and were predominantly female (73 ​%). Aneurysms had a median neck width of 4.2 ​mm and mean maximum diameter of 5.16 ​mm; 40 ​% presented with subarachnoid haemorrhage. Technical success was 100 ​%, with 14/15 aneurysms treated using a single stent. Immediate or follow-up angiography showed Raymond grade I occlusion in all cases. No periprocedural thromboembolic or haemorrhagic events were observed, all patients achieved mRS ≤2 ​at last follow-up, and no recurrences or retreatments were required.</div></div><div><h3>Conclusions</h3><div>In this small retrospective series, Neuroform Atlas single-stent-assisted coiling was feasible and achieved complete occlusion with no procedure-related complications in wide-neck MCA bifurcation aneurysms. These preliminary results suggest the approach may offer a safe and effective alternative to complex dual-stenting techniques, but larger prospective studies with control groups are needed to confirm its generalizability.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100417"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Objective analysis of human pulse based on traditional Chinese medicine pulse matrix","authors":"Yuxin Song ,&nbsp;Xiaowei Zhao ,&nbsp;Lexin Li,&nbsp;Weijia Li,&nbsp;Bojing Shi,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2026.100429","DOIUrl":"10.1016/j.medntd.2026.100429","url":null,"abstract":"<div><div>Pulse diagnosis, an important part of Chinese traditional medicine (TCM), has developed over thousands of years and is still valued and applied worldwide. The process of pulse diagnosis necessitates extensive training and practice by physicians, necessitating the objectification of pulse diagnosis. However, the existing studies on the definition and description of pulse waveforms are incomplete, and the standards for objectification vary, which to some extent affects the further development of pulse diagnosis in TCM. In this research, a concept of pulse matrix is introduced and the definition and description of 13 pulse signals are accomplished through a literature review combined with the characterization methods in time and frequency domains, and a new method of pulse recognition based on Spearman's rank correlation coefficient is introduced. For a single pulse signal, the recognition of the pulse was completed. For continuous pulse signals, a random pulse signal generator was constructed, and the recognition of continuous pulse. Through the recognition experiments of single pulse, continuous pulse and real pulse, the effectiveness and rationality of the method are proved. It provides a promotion for the modern development of TCM pulse diagnosis. With the continuous progress of technology and the deepening of interdisciplinary cooperation, it is believed that TCM will usher in a prosperous development in the near future.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100429"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding tissue mechanical heterogeneity through the integration of biomechanical imaging and single-cell spatial transcriptomics","authors":"Fan Zhang ,&nbsp;Wei Wang ,&nbsp;Wei Chen","doi":"10.1016/j.medntd.2025.100425","DOIUrl":"10.1016/j.medntd.2025.100425","url":null,"abstract":"<div><div>The mechanical microenvironment profoundly influences cell behavior, tissue organization, and disease progression. Recent advances in biomechanical imaging and single-cell multi-omics technologies have enabled the exploration of tissue heterogeneity from both physical and molecular perspectives. This review summarizes key biomechanical imaging methods and evaluates their capabilities and limitations. We further discuss computational strategies for predicting mechanical properties and highlight integrative approaches that link these predictions with single-cell/spatial omics data. These integrative strategies will pave the way for mechanobiology-informed precision medicine.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100425"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering biomimetic lung-on-a-chip systems: Recapitulating air-liquid interface, dynamic breathing, and alveolar microenvironments for disease modeling","authors":"Juan Zhang ,&nbsp;Jing Zhou ,&nbsp;Yue Wang ,&nbsp;Yi Yang ,&nbsp;Tao Yue ,&nbsp;Cheng Chang","doi":"10.1016/j.medntd.2025.100415","DOIUrl":"10.1016/j.medntd.2025.100415","url":null,"abstract":"<div><div>The lung is a vital organ for gas exchange. Its microstructure is complex and changes in its physiology are crucial to human health. Lung disease is one of the leading causes of death worldwide, with new cases emerging every year. This highlights the urgent need to develop advanced preclinical models. While animal studies have long been valuable for drug development, there are inherent differences between animal and human pathophysiology. This has led to the development of three-dimensional (3D) microphysiological systems. In particular, the lung-on-a-chip (LOC) platform offers significant advantages by reproducing the alveolar microenvironment-a biphasic air-liquid environment, providing mechanically responsive, periodic stretching to simulate dynamic respiration under controlled microfluidic conditions. This review systematically explores the cellular components inherent in natural lung tissue (such as lung epithelial cells, endothelial cells, and fibroblasts) and its physiology, establishing design criteria for constructing bionic LOC systems. We critically evaluate state-of-the-art LOC architectures for simulating toxicological responses in conditions such as pneumonia, chronic obstructive pulmonary disease (COPD), pulmonary fibrosis (PF) and lung cancer. Ultimately, we provide a framework that addresses the limitations of existing LOC technologies, focusing future development efforts on critical areas that are essential for achieving predictive, clinically relevant models. This provides a roadmap for next-generation organ-on-chip platforms that combine engineering innovations with translational lung medicine, with the potential to transform drug discovery and personalized disease modeling.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100415"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hb-O2 affinity parameters as prognostic factors for 28-day mortality in ARDS patients: A prospective study","authors":"Xiaoxi Zhong ,&nbsp;Shiyu Tao ,&nbsp;Weidan Li ,&nbsp;Ying Wang ,&nbsp;Jianlei An ,&nbsp;Zhiyong Huang ,&nbsp;Hong Zhou ,&nbsp;Jingyuan Liu ,&nbsp;Lian Zhao ,&nbsp;Lin Pu","doi":"10.1016/j.medntd.2025.100418","DOIUrl":"10.1016/j.medntd.2025.100418","url":null,"abstract":"<div><div>Measuring hemoglobin-oxygen (Hb-O₂) affinity might be helpful in prognosis of acute respiratory distress syndrome (ARDS) patients. We conducted a single-center prospective cohort study at the ICU department of Beijing Ditan Hospital Capital Medical University. The study enrolled 43 consecutive adult ARDS patients (≥ 18 years) admitted to ICU from November 2023 to January 2025. Data obtained from medical records and Hb-O₂ affinity parameters were compared between survivors and non-survivors. Logistic regressions were performed to screen potential prognosis factors in ARDS patients. A total of 42 patients were included in analysis. In a 28-day duration, 10 (23.8 ​%) patients died. We found significantly lower APACHE II scores (p=0.04) and SOFA scores (p=0.02) in the survival group at baseline. We further analyzed patients’ dynamics during ICU stays and found that P₅₀ significantly increased in survivors than non-survivors (p ​&lt; ​0.01), and the decrease in P₅₀ (odds ratio: 1.29, 95 ​% confidence interval 0.62–0.98, p=0.03) was an independent risk factor for poor outcomes. In 23 patients, we found significantly lower baseline theoretical oxygen release (TOR) in the survival group (p=0.02). Also, TOR significantly increased in the survival group but decreased in the non-survival group (p ​&lt; ​0.01) during the study period. We concluded that increases in P₅₀ and TOR are associated with better health outcomes in ARDS patients admitted to ICU, and Hb-O₂ affinity parameters may serve as potential prognostic indicators.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100418"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SZAtt-Net: A unified deep learning model with different attention mechanisms for schizophrenia classification from multimodal data","authors":"Arghyasree Saha ,&nbsp;Debgandhar Ghosh ,&nbsp;Farman Ali ,&nbsp;Pawan Kumar Singh","doi":"10.1016/j.medntd.2026.100428","DOIUrl":"10.1016/j.medntd.2026.100428","url":null,"abstract":"<div><div>Schizophrenia (SZ), a complicated mental illness, shows up as incorrect beliefs, perceptual distortions, poor reasoning, and neurocognitive problems. Its varied character—varying in severity, development, and therapy response—offers major diagnostic difficulty. While Magnetic Resonance Imaging (MRI) provides comprehensive structural and functional imaging for a better knowledge of the condition, Electroencephalography (EEG) with its great temporal resolution offers vital insights into neuronal malfunction in SZ. Deep learning (DL) techniques as well as advanced machine learning (ML) have been developed to improve SZ detection, therefore facilitating quick identification and improved patient recovery. This study presents SZAtt-Net, a DL framework designed for SZ detection and classification, integrating Convolutional Neural Networks (CNNs), Bidirectional Gated Recurrent Unit (BiGRU), along with Multilayer Perceptron (MLP) architectures. A key contribution of this work is the comprehensive ablation study of channel, self, spatial, and temporal attention mechanisms in DL, conducted to assess their impact on model performance across multimodal data. Notably, due to the absence of dedicated MRI datasets for SZ classification, this study repurposes an MRI segmentation dataset for classification, making it the first such attempt. As a unified model, SZAtt-Net is applied separately to three benchmark datasets—Kaggle EEG, LMSU EEG, and Hippocampus MRI—achieving accuracy rates of 99.37 % and 98.92 % using channel attention, and 96.33 % using spatial attention, respectively. The proposed framework is also benchmarked against various pre-trained models, and a Gradient-weighted Class Activation Mapping (Grad-CAM) analysis is performed to enhance interpretability. This work underscores the clinical relevance of SZAtt-Net and outlines future research directions for improving accessible and accurate diagnostic solutions for SZ.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"29 ","pages":"Article 100428"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}