Biomedical engineering advances最新文献

{"title":"Corrigendum to “A core needle biopsy combined with novel spectroscopic probe for in vivo tissue classification – a pilot study on piglets” [Biomedical Engineering Advances, Available online 2 September 2025, 100191]","authors":"Lukasz Surazynski , Jyri Järvinen , Martti Ilvesmäki , Markus Mäkinen , Heikki J. Nieminen , Miika T. Nieminen , Teemu Myllylä","doi":"10.1016/j.bea.2025.100194","DOIUrl":"10.1016/j.bea.2025.100194","url":null,"abstract":"","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736282","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":"Tracking orthodontic tooth movement and associated biomechanics using an integrated clinical and in vitro mechanical approach","authors":"Arya Subramanian ,&nbsp;Robyn de Wet ,&nbsp;Lingyu Bu ,&nbsp;Manuel O. Lagravere ,&nbsp;Paul W. Major ,&nbsp;Dan L. Romanyk","doi":"10.1016/j.bea.2025.100186","DOIUrl":"10.1016/j.bea.2025.100186","url":null,"abstract":"<div><div>The objective of this study was to establish an integrated clinical and <em>in vitro</em> experimental approach to track tooth positions and replicate digital tooth positions <em>in vitro</em> for biomechanical load measurement over orthodontic treatment. Patients between 11–14 years were recruited to collect four digital intraoral scans in 4–6-week intervals. Patients were treated for mild anterior crowding using 0.022″ Damon Q2 brackets and CuNiTi round archwires sized up at each treatment interval (T1-T2: 0.014″, T2-T3: 0.016″, T3-T4: 0.018″). Scans were superimposed and clinical tooth movement was tracked using bracket-slot midpoint position differences. An in-house workflow was developed using MATLAB and SolidWorks to replicate digital bracket positions on an Orthodontic Simulator (OSIM) with custom-dimensioned jigs. Mechanical experiments for the sample arches were performed at 37°C for 3D force measurements at each tooth upon wire insertion (<em>n</em> = 5/archwire size). The average superimposition error between T2-T4 and T1 scans was 0.19 mm. Average errors in bracket position replication across all directions was 0.41 mm in the local X-, Y-, and Z-direction, respectively. The initial force and tooth movement range was 0.00–1.43 N and 0.01–1.81 mm in the Y-direction, and 0.01–2.17 N and 0.00–1.45 mm in the Z-direction. Tooth movement ranged from 0.00–0.30 mm/week in the Y-direction and 0.00–0.24 mm/week in the Z-direction over treatment. This study developed a process to measure clinical tooth movement and existing force/moment systems for sample arches over orthodontic braces treatment. Future work will involve an expanded data set to establish fundamental relationships between force systems and clinical tooth movements.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100186"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365688","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":"Current challenges and bioengineering aspects in the development of an in vitro model of the human intestinal epithelium","authors":"Jhonatan Rafael de Oliveira Bianchi ,&nbsp;Ana Letícia Rodrigues Costa ,&nbsp;Hernandes F. Carvalho ,&nbsp;Lucimara Gaziola de La Torre","doi":"10.1016/j.bea.2025.100188","DOIUrl":"10.1016/j.bea.2025.100188","url":null,"abstract":"<div><div>The human intestinal epithelium is a multitasking tissue with different cell types and a complex architecture responsible for molecules/nutrient absorption during food digestion, and working as a physical barrier to the infection of pathogens. Symbiosis with the microbiota regulates metabolic pathways accountable for developing diseases, for example diabetes, obesity, and cancer. Therefore, several <em>in vitro</em> biology-inspired physiological models have been developed to humanize drug tests and study cell behavior. This review uses a design approach to discuss the essential bioengineering parameters required to design an intestinal epithelium microphysiological system (MPS) rationally. Important project parameters are discussed, considering the biological question in hands, hydrogel microenvironment, and relevant engineering criteria to observe and quantify the functionality of this epithelium. Thus, we will focus on recent bioengineering aspects related to the fabrication of the intestine model, such as how the biomaterial (matrix) proprieties (porosity, mechanical force, and curvature) affect the cell behavior and, consequently, the characteristics of <em>in vitro</em> intestinal models. Moreover, the technological approaches used to create a villus-like microarchitecture, lithography, and 3D bioprinting are introduced. Finally, combining villi-crypt microarchitecture with fluid perfusion and hypoxia is discussed to create a more complex intestine-MPS.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"10 ","pages":"Article 100188"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655352","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":"A new vision upon hemodialysis: A shift from synthetic to sustainable chitosan membranes","authors":"Maria Martingo,&nbsp;Sara Baptista-Silva,&nbsp;Manuela Pintado,&nbsp;Sandra Borges","doi":"10.1016/j.bea.2025.100175","DOIUrl":"10.1016/j.bea.2025.100175","url":null,"abstract":"<div><div>The article provides a comprehensive review of chronic kidney disease (CKD), covering its epidemiology, pathophysiology, diagnosis, and management. It highlights CKD's increasing prevalence globally and its significant impact on public health due to its association with cardiovascular diseases and progression to end-stage kidney disease. The article delves into the diagnostic criteria, including the use of glomerular filtration rate (GFR) and albuminuria levels, and outlines the stages of CKD to facilitate early detection and management. It also discusses renal replacement therapies (RRT) such as dialysis and transplantation, comparing hemodialysis (HD) and peritoneal dialysis (PD) in terms of efficiency, complications, and quality of life impacts.</div><div>The transition towards sustainable dialysis involves the innovative integration of chitosan, a biopolymer into membrane technology. Current synthetic membranes, though functional, fall short in biocompatibility and sustainability. Chitosan's introduction aims to mitigate these issues by harnessing its advantageous biological and eco-friendly properties. Leveraging chitosan not only addresses environmental concerns by providing a sustainable alternative but also exploits the full potential of its properties to revolutionize RRT. The shift towards chitosan-enriched membranes represents a significant stride in advancing dialysis treatment, focusing on patient safety, environmental sustainability, and the effective management of CKD. This approach underscores the importance of innovation in healthcare, specifically in the development of dialysis technologies that prioritize both patient welfare and environmental sustainability.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922932","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":"Stem cells in regenerative medicine: Unlocking therapeutic potential through stem cell therapy, 3D bioprinting, gene editing, and drug discovery","authors":"Idris Zubairu Sadiq ,&nbsp;Fatima Sadiq Abubakar ,&nbsp;Babangida Sanusi Katsayal ,&nbsp;Bashiru Ibrahim ,&nbsp;Auwal Adamu ,&nbsp;Mohammed Aliyu Usman ,&nbsp;Mukhtar Aliyu ,&nbsp;Mukhtar Adeiza Suleiman ,&nbsp;Aliyu Muhammad","doi":"10.1016/j.bea.2025.100172","DOIUrl":"10.1016/j.bea.2025.100172","url":null,"abstract":"<div><div>Stem Cells (SCs) have become potentially instrumental in addressing many human diseases such as cancer, diabetes, age-related diseases and tissue defects. The unique ability of SCs to multiply indefinitely and differentiate into various cell types makes them invaluable in regenerative medicine and treatment. Regenerative medicine is an advancing field that focuses on restoring tissue and organ function in individuals with severe injuries and chronic illnesses. Pluripotent cells, capable of adopting roles from any of the three germ layers, exhibit exceptional versatility and are promising for a wide range of medical conditions. They also offer a solution to limitations posed by animal models in understanding specific disorders. Recent breakthroughs have shown that combining SCs with cutting-edge technologies like 3D bioprinting and 3D culture systems can revolutionize tissue engineering and organ regeneration. 3D bioprinting allows precise construction of complex tissue structures, bringing us closer to recreating functional organs for transplantation. Moreover, the integration of SCs with gene editing techniques presents unprecedented opportunities for precise genetic modification, correcting disease-causing mutations and opening avenues for personalized therapies. In addition, SCs play an important role in drug discovery and testing, serving as valuable models for studying disease mechanisms and screening potential therapeutic biomolecules. This paper provides a comprehensive exploration of SCs, transcription factors, diverse therapeutic applications of these cells as well as their role in the fields of tissue engineering, 3D bioprinting, 3D culture systems, gene editing, disease modeling, and drug discovery and testing.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100172"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922931","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":"Simulated uterine contractions: Graph theory and connectivity-based analysis of EHG signals","authors":"Kamil Bader Eldine ,&nbsp;Noujoud Nader ,&nbsp;Mohamad Khalil ,&nbsp;Catherine Marque","doi":"10.1016/j.bea.2025.100178","DOIUrl":"10.1016/j.bea.2025.100178","url":null,"abstract":"<div><div>Preterm labor represents the prominent cause of mortality and morbidity, highlighting the important need for improved preterm contraction prediction and management. One promising approach to resolving this challenge is to analyze the electrohysterographic (EHG) signal, which records the electrical activity regulating uterine contractions. Analyzing the features of the EHG signal contributes valuable data to detect labor. In this paper, we propose a new framework using simulated EHG signals to identify features sensitive to uterine connectivity. We focus on EHG signal propagation during labor, recorded by multiple electrodes. We simulated EHG signals in different groups to determine which connectivity methods and graph parameters best represent the two main factors driving uterine synchronization: short-distance propagation (via electrical diffusion, ED) and long-distance synchronization (via mechanotransduction, EDM). Using the uterine model, signals were first simulated using just electrical diffusion by modifying the tissue resistance; second, signals were simulated using ED and mechanotransduction by holding the tissue resistance constant and varying the model parameters that affect mechanotransduction. We used the bipolar technique to construct our simulated EHGs by modeling a matrix of 16 surface electrodes organized in a 4 × 4 matrix placed on the pregnant woman’s abdomen. Our results show that even a simplified electromechanical model can be useful for monitoring uterine synchronization using simulated EHG signals. The differences seen between the selection performed by Fscore on real and simulated EHG signals show that when employing the mean function, the best features are H2(Str), FW_h2 alone, and in combination with PR, BC, and CC. The best characteristics that demonstrate a shift in the mechanotransduction process are H2 alone or in combination with Str, R2(PR), and ICOH(Str). The best characteristics that demonstrate a shift in electrical diffusion are H2 alone and in combination with Eff, PR, and BC.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100178"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069187","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":"Decision support systems for lower limb rehabilitation using electrical stimulation—A review","authors":"Tiago Franco ,&nbsp;Pedro Rangel Henriques ,&nbsp;Paulo Alves ,&nbsp;Maria João Varanda Pereira","doi":"10.1016/j.bea.2025.100162","DOIUrl":"10.1016/j.bea.2025.100162","url":null,"abstract":"<div><div>This paper presents a comprehensive review of Decision Support Systems (DSS) for lower limb rehabilitation using Electrical Stimulation (ES), employing a rigorous two-part methodology. The first part involves a bibliometric analysis of articles from 1980 to 2023, while the second part is a systematic review of studies from 2019 to 2023, addressing six key research questions. The review identifies the main characteristics of DSS, such as data usage, sensitive data protection, reasoning techniques, and validation processes. It highlights the development focus on joint control systems, increasing interest in biofeedback and AI applications, and significant interest in FES-Cycling. Despite advancements, “decision support” remains in the early stages with simple architectures and limited data handling. Conversely, studies show advanced ES control models validated with neurological patients. This article emphasizes the need for sophisticated DSS that integrate data protection, reasoning methods, and patient monitoring to enhance rehabilitation outcomes and identifies significant gaps for future research.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833152","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":"Corrigendum to “Exploring Therapeutic Strategies for Androgen-Independent Prostate Cancer Using a Magnetic Coculture Platform” [Biomedical Engineering Advances Volume 9 (2025) Pages 2-6/Article 100144]","authors":"Anjani Chavali ,&nbsp;Giles Fitzwilliams ,&nbsp;Adam Germain ,&nbsp;Sandra Khuon ,&nbsp;Young-tae Kim","doi":"10.1016/j.bea.2025.100182","DOIUrl":"10.1016/j.bea.2025.100182","url":null,"abstract":"","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271598","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":"Effect of nutrient-based alloying elements on biodegradable magnesium alloys: Evolution, challenges, and strategies for orthopaedic applications","authors":"Pradeep Raja C ,&nbsp;Karthik Babu N B ,&nbsp;N S Balaji ,&nbsp;A Saikiran ,&nbsp;Rajesh Kannan A","doi":"10.1016/j.bea.2025.100161","DOIUrl":"10.1016/j.bea.2025.100161","url":null,"abstract":"<div><div>In recent years, magnesium (Mg) alloys have become increasingly popular in orthopaedic applications as biomaterials. Unlike traditional implants such as cobalt-chrome, stainless steel, and titanium alloys, Mg alloys offer notable advantages, including outstanding biodegradability and biocompatibility. This characteristic eliminates the need for a second surgery after the bone healing process, a distinct advantage for patients. Additionally, Mg alloys address the issue of stress shielding, a common problem with other materials. Despite facilitating the osteoconductive process, their rapid degradation in physiological conditions poses a challenge, compromising mechanical strength and hindering bone tissue recovery. This degradation leads to tissue alkalization and the formation of hydrogen bubbles, hindering the recovery rate of bone tissues and limiting the applications of Mg alloys. And the rapid degradation of magnesium alloys in physiological conditions accelerates corrosion and compromises mechanical integrity, affecting their load-bearing capacity. Enhancing structural integrity is essential to ensure sufficient strength during bone healing, aligning the degradation rate with the physiological process. To reduce the fast degradation rate, extensive research has been conducted in mechanical and corrosion-based studies, focusing on altering the biomedical performance of Mg alloys through alloying elements, processing routes, and other strategies. One approach involves mixing pure magnesium with nutrient materials and reinforcing it with hydroxyapatite. These modifications aim to match the corrosion rate with the healing rate of bone tissue. This paper explores the significance of biodegradable Mg alloys, providing a comprehensive review of their evolution and development. It emphasises enhancing the mechanical and corrosion properties of Mg alloys by adjusting the percentage of alloying elements, employing specific processing strategies, and incorporating reinforcements. The discussion particularly emphasizes the impact of nutrient elements, binary and ternary alloys, as well as hydroxyapatite composites of magnesium-based alloys in physiological conditions. Furthermore, the review highlights emerging technologies like Laser Powder Bed Fusion (LPBF), offering a general perspective on improving the mechanical and corrosion properties of Mg alloys for orthopaedic use.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738886","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":"Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model","authors":"Nur Mohammad Fahad ,&nbsp;Mohaimenul Azam Khan Raiaan ,&nbsp;Arefin Ittesafun Abian ,&nbsp;Ripon Kumar Debnath ,&nbsp;Sidratul Montaha ,&nbsp;Mirjam Jonkman ,&nbsp;Sami Azam","doi":"10.1016/j.bea.2025.100174","DOIUrl":"10.1016/j.bea.2025.100174","url":null,"abstract":"<div><h3>Background</h3><div>The analysis of blood, including red blood cells (RBC) and different types of white blood cells (WBCs) plays a major role in the diagnosis of certain diseases. Automated segmentation of blood cells and their components can assist clinicians in effectively making diagnoses; however, it is quite challenging Objective: This study proposes a computerized approach to assessing the significance of biomedical imaging. It presents a framework for segmenting blood cells as well as their nuclei from the histopathological images of multiple datasets. Additionally, a custom algorithm is developed for blood cell counting.</div></div><div><h3>Methods</h3><div>This study introduces two automated methods for WBC analysis, including image segmentation to distinguish between WBCs and RBCs, the nuclei of the WBC, and classifying WBC types using clinically important features. An effective segmentation approach with image preprocessing algorithms is developed for automatic counting of WBCs and RBCs. An improved GraphSAGE model is constructed to classify blood cells. Clinically relevant features are extracted from segmented WBCs and nuclei for a final dataset. Feature ranking analysis identifies optimal features and reduces dimensionality, aiding graph dataset construction based on data similarity.</div></div><div><h3>Results</h3><div>Our proposed model achieved an accuracy of 96.67 %. A comparative analysis with benchmark models is done to assess the effectiveness of the model. The explainability of the model is addressed to enhance the transparency of the diagnostic system and provide insight into the decision-making process.</div></div><div><h3>Conclusion</h3><div>Leveraging the automated, simultaneous segmentation of blood cells and exploring their relationships for effective classification substantially helps to improve the reliability and applicability of this diagnostic system and aid clinicians.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935985","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}