Medicine in Novel Technology and Devices最新文献

{"title":"Effects of geometrical parameters on hemodynamics of arteriovenous graft: A 3D numerical simulation","authors":"Maryam Assadi,&nbsp;Aisa Rassoli","doi":"10.1016/j.medntd.2025.100376","DOIUrl":"10.1016/j.medntd.2025.100376","url":null,"abstract":"<div><div>Although arteriovenous grafts (AVGs) serve as a significant long-term hemodialysis access, they encounter issues such as stenosis, thrombosis, and potential graft failure. This study utilizes computational fluid dynamics to examine various combinations of geometric parameters in AVG design. Twelve looped AVG configurations are generated, including two representing commercially available AVGs. These models vary in length (60 ​mm and 150 ​mm), diameter (4 ​mm, 5 ​mm, and 6 ​mm), and venous anastomosis (VA) angles (30° and 60°). A time-dependent velocity waveform is applied at the artery inlet, with rigid walls and non-Newtonian blood modeling. AVG performance is assessed using velocity, streamlines, graft flow, and wall shear stress metrics, such as time-averaged wall shear stress, oscillatory shear index, and relative residence time. Comparative analysis identifies an AVG with a 60 ​mm length, 5 ​mm diameter, and 30° VA angle as a promising alternative to conventional graft configurations. This model demonstrates approximately 50 ​% less exposure to unfavorable hemodynamics, with a marginal decrease of around 9 ​% in maximum graft flow compared to commercial models. Shorter graft lengths, smaller diameters, and relatively smaller VA angles contribute to improved hemodynamic distribution. These findings offer insights applicable to clinical research on arteriovenous grafts and aid in developing effective therapeutic strategies.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"27 ","pages":"Article 100376"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280037","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":"Research progress and prospects of experimental murine behavior evaluation methods","authors":"Chen Du ,&nbsp;Ying Wang ,&nbsp;Ziyi Li ,&nbsp;Ziyan Wu ,&nbsp;Dingyuan Liang ,&nbsp;Yuliang Zhao ,&nbsp;Jin Zhou ,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2025.100371","DOIUrl":"10.1016/j.medntd.2025.100371","url":null,"abstract":"<div><div>Experimental murine behaviors, including communication, emotional expression, social interaction, learning, and reproduction, play a critical role in various research fields such as genetics, neuroscience, and non-neuroscience disciplines. The growing demand for murine behavior research has driven the development of diverse evaluation methods. Current evaluation techniques include assessments based on ordinary or high-speed cameras, active depth sensors, inertial sensors, optical pressure plates, electromyography, and two-photon fluorescence microscopy. Each method has its unique advantages and limitations depending on the experimental context. Therefore, selecting an appropriate evaluation method tailored to specific experimental requirements is crucial for obtaining accurate and meaningful results. This review summarizes the advancements in experimental murine behavior evaluation methods over the past decade, providing a comprehensive overview of their applications and contributions to behavioral research.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"27 ","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307137","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":"Cover","authors":"","doi":"10.1016/S2590-0935(25)00024-4","DOIUrl":"10.1016/S2590-0935(25)00024-4","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100373"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220795","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":"Diagnosis of different types of single suture craniosynostosis in infants with deep learning techniques","authors":"Amir Hossein Zinati ,&nbsp;Maliheh Sabeti ,&nbsp;Hossein Kamyab ,&nbsp;Ehsan Moradi","doi":"10.1016/j.medntd.2025.100370","DOIUrl":"10.1016/j.medntd.2025.100370","url":null,"abstract":"<div><div>Craniosynostosis (CSO) is characterized by premature fusion of skull sutures in infants. This early closure of one or more main sutures can lead to various skull and facial deformities and may cause developmental delay in children. Early diagnosis, crucial for effective treatment, traditionally relies on physical examination and 3D cranial imaging, which are often inaccurate or with the risk of X-ray exposure. This study presents a fully-automated deep learning-based method for diagnosing common types of single suture CSO using routine digital photographs of infants' heads. We employed a two-stage approach involving head segmentation and CSO type classification. First, mask region-based convolutional neural network (Mask R-CNN) was used for accurate head segmentation, achieving an average precision of 97.60 ​% and an average recall of 96.20 ​%. The segmented images were then classified into different CSO types using a modified VGG11 neural network. The classifier attained a training accuracy of 99.74 ​% and a test accuracy of 94.44 ​%, with high sensitivity and specificity for uni-coronal, metopic, and sagittal types. Our method illustrates high reliability and accuracy, offering non-invasive, accessible and accurate diagnostic instrument for early detection and patient screening.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"27 ","pages":"Article 100370"},"PeriodicalIF":0.0,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239833","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":"Mass transport and fluid flow-induced wall shear stress in auxetic bone scaffolds during deformation process: a numerical study","authors":"Xuezheng Geng ,&nbsp;Nan Li ,&nbsp;Huiwen Huang ,&nbsp;Ruiqi Zhang ,&nbsp;Yan Yao ,&nbsp;Lizhen Wang ,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2025.100368","DOIUrl":"10.1016/j.medntd.2025.100368","url":null,"abstract":"<div><div>Auxetic structures exhibit an extraordinary response to mechanical forces by expanding or contracting in the transverse direction during stretching or compression, making them highly suitable for porous biomedical implants. However, their biological functions, including nutrient transport, metabolic waste removal, and cell proliferation and differentiation, remain unexplored. This study employs computational fluid dynamics (CFD) to analyze how the auxetic deformation of a scaffold influences its biological performance. An auxetic scaffold (A-scaffold) was designed alongside a non-auxetic scaffold (N-scaffold) with identical porosity (80 ​%) for comparison. Deformations at compressive strains of 0 ​%, 5 ​%, and 10 ​% were analyzed and utilized in CFD simulations to evaluate the fluid dynamics within the scaffolds. The interaction of water flow with the scaffolds was simulated, leading to predictions of mass transport and fluid flow-induced wall shear stress (WSS). Results indicated that both the fluid flow direction and scaffold architecture significantly influenced mass transport characteristics. The deformation response also impacted scaffold biological performance; specifically, the A-scaffold's concave struts hindered fluid flow in the X direction, reducing permeability but potentially promoting uniform internal fluid distribution. Although the auxetic deformation of the A-scaffold decreased its permeability, it resulted in a more irregular WSS distribution, suggesting enhanced dynamic cellular stimulation under mechanical loading. The WSS_AVG of the A-scaffold and its variation during deformation were larger in the X direction than that of the Z direction. As a result, the A-scaffold exhibited better ability to transmit mechanical stimulation in the X direction. These preliminary studies numerically characterized the mass transport properties of scaffolds under auxetic deformation for the first time, provided guidance for the design and application of an auxetic scaffold.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100368"},"PeriodicalIF":0.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947209","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":"Biomaterials and tissue engineering strategies for management of neurodegeneration: A critical perspective","authors":"Suraj Kumar ,&nbsp;Rishabha Malviya ,&nbsp;Sathvik Belagodu Sridhar ,&nbsp;Javedh Shareef ,&nbsp;Tarun Wadhwa","doi":"10.1016/j.medntd.2025.100369","DOIUrl":"10.1016/j.medntd.2025.100369","url":null,"abstract":"<div><div>Despite its importance, the nervous system is susceptible to impairment from strokes, severe injuries, and neurological disorders. Studies have shown that people with neurological disorders are more likely to suffer death. Substantial unfulfilled clinical demands exist because existing pharmaceutical and therapeutic approaches only alleviate symptoms and do not produce novel tissue regeneration in the central nervous system (CNS). Although there is hope for stem cell-based regeneration treatments, there are challenges to overcome, including graft rejection, expense, and ethical concerns. This review explores the potential of contemporary polymeric biomaterials for the treatment of neurological conditions. It highlights their promising application to brain tissue engineering for efficient rejuvenation and repair. To address the challenge of present therapies, neuronal tissue implementation is targeted at developing sophisticated biomaterials. <em>In-vitro</em> and <em>In-vivo</em> environments, scaffold composed of synthetic and natural polymers resembles the extracellular structure, stimulating cell proliferation and improving biological function. Several materials, including hydrogels that are made of collagen, possess the potential for regenerating damaged nerve tissue, simulating the brain's environs, and circumventing the traditional challenges of administering medications. One therapeutic approach that might be used for the management of neurodegeneration disorder is the use of polymeric scaffolds. Their potential to transform brain tissue repair and regeneration hinges on their incorporation into therapeutic procedures.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100369"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921652","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":"Polysaccharide-derived carbon quantum dots: advances in preclinical studies, theranostic applications, and future clinical trials","authors":"Shubhrat Maheshwari ,&nbsp;Aditya Singh ,&nbsp;Amita Verma","doi":"10.1016/j.medntd.2025.100367","DOIUrl":"10.1016/j.medntd.2025.100367","url":null,"abstract":"<div><div>Polysaccharide-derived carbon quantum dots (CQDs) have emerged as promising nanomaterials, valued for their biocompatibility, low toxicity, and outstanding fluorescence characteristics, which make them ideal for diverse biomedical applications, particularly in theranostics. These carbon-based nanoparticles uniquely merge diagnostic and therapeutic capabilities, holding significant potential for both detecting and treating various diseases. Renewable and abundant polysaccharides—such as chitosan, starch, cellulose, pectin, alginate, dextran, and heparin—are excellent carbon precursors for CQD synthesis. Their inherent functional groups, like hydroxyl and carboxyl, enhance the stability, solubility, and adaptability of the resulting CQDs, broadening their application in imaging, drug delivery, and cancer treatment. Additionally, these CQDs have demonstrated potential in targeted drug delivery, controlled release systems, and tissue regeneration, solidifying their role in both diagnostic and therapeutic realms. This review examines recent progress in the synthesis of polysaccharide-derived CQDs, emphasizing preclinical studies that showcase their use in imaging, drug delivery, and cancer therapy. It further explores their prospective role in theranostic applications and outlines the challenges that must be overcome to transition these nanomaterials into clinical trials. With continued research and innovation, polysaccharide-derived CQDs are poised to contribute significantly to future clinical applications, facilitating more effective and personalized treatment strategies across a spectrum of diseases.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100367"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927684","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":"Artificial intelligence in de novo protein design","authors":"Jiawei Yao,&nbsp;Xiaogang Wang","doi":"10.1016/j.medntd.2025.100366","DOIUrl":"10.1016/j.medntd.2025.100366","url":null,"abstract":"<div><div>The primary goal of protein engineering has always been to create molecules with optimal functions and characteristics. One of the most exciting avenues of research in this field is de novo protein design. This approach facilitates the synthesis of entirely new molecules without relying on existing protein, thereby offering a novel method for generating molecular entities that were previously unimaginable. The application of artificial intelligence in this field has been a significant advancement. By leveraging machine learning algorithms trained on extensive sequence and structure datasets, scientists have been able to make de novo protein design a practical reality. In this paper, we will delve into the key artificial intelligence innovations that have driven this progress and explore how they unlock groundbreaking opportunities. These advancements, we believe, have the potential to push beyond the current state of the art, enabling us to design proteins strategically and robustly. Moreover, they offer solutions to pressing societal challenges, such as developing new therapeutics, creating sustainable biomaterials, or engineering enzymes for environmental remediation.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869405","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":"The soft liquid metal-based pressure sensor based on resistance-capacitance coupling","authors":"Kang Sun ,&nbsp;Xinxin Zhang ,&nbsp;Shuting Liang ,&nbsp;Liangtao Li ,&nbsp;Caicai Jiao ,&nbsp;Qian Wang ,&nbsp;Wuliang Chen ,&nbsp;Liang Hu ,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2025.100363","DOIUrl":"10.1016/j.medntd.2025.100363","url":null,"abstract":"<div><div>With the rapid development of the intelligent technology, flexible sensors have widely applied in wearable electronic products, human-computer interaction, soft robots, health care and other emerging fields. At present, mechanical sensors are based on resistance or capacitance changes alone to achieve a perceived response to force. Meanwhile the methods of flexible mechanical sensors to improve the sensitivity are mainly micro-structuring of the electrode or dielectric layer, which is a complicated process and less probing of the electrode shape. Therefore, this paper proposes a flexible sensor based liquid metal to measure mechanics through resistive-capacitive coupling. Through testing, we obtained the optimal preparation scheme. We also explored the mechanical properties of the sensor design with different combinations of liquid metal electrode shapes using simulation, and then tested the mechanical properties of the double helix liquid metal sensor prepared according to the model structure. With resistive-capacitive coupling, the sensor can achieve a sensitivity of 0.4653 ​kPa⁻¹ with a response range of 10∼343 ​Pa, and it has good tensile and compressive response, and cyclic stability. This study provides a new structural design direction for the subsequent application of liquid metal in flexible sensing with high sensitivity.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100363"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress in rehabilitation equipment for autism spectrum disorder","authors":"Ruixiang Hou,&nbsp;Chaojuan Yang,&nbsp;Chunjing Tao,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2025.100365","DOIUrl":"10.1016/j.medntd.2025.100365","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social interaction deficits, verbal and non-verbal communication difficulties, and restricted interests and repetitive behaviors. ASD has a high morbidity and disability rate. Finding treatment approaches for autism is challenging due to the complex interplay of genetic and environmental factors that contribute to the disorder. Currently, therapeutic approaches include behavioral and pharmacological interventions, and some clinical research focuses on developing equipment for autism rehabilitation. Autism rehabilitation equipment can generally be categorized into social robots, virtual reality systems, physical stimulation devices, and augmentative and alternative communication (AAC) devices, each with different application scenarios and rehabilitation mechanisms. This article summarizes existing equipment and reviews the status of research and development in the field of autism rehabilitation, discussing the principles of the equipment and potential neural mechanisms to find breakthroughs in the treatment of ASD.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100365"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}