Biomedical engineering advances最新文献

{"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 , Giles Fitzwilliams , Adam Germain , Sandra Khuon , 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":"Alternate inter-digit finger tapping pattern resembles rudimentary finger grasping pattern","authors":"Stefan Manoharan ,&nbsp;June Seung Lee ,&nbsp;Hangue Park","doi":"10.1016/j.bea.2025.100183","DOIUrl":"10.1016/j.bea.2025.100183","url":null,"abstract":"<div><div>Neurotraumas often result in loss of finger grasping ability, thereby deteriorating quality of life. To develop effective rehabilitation method for finger grasping, objective evaluation metrics of grasping capability is a basic requirement. However, current evaluation methods for grasping confront challenges with their non-rhythmic nature and limited sample size, resulting in low statistical power and high variability. Finger tapping may shed light on this issue, based on its rhythmic nature and a common underlying mechanism between rhythmic finger tapping and rudimentary finger grasping. In this study, we investigated “phase difference” at inter-digit finger tapping, which indicates a deviation from the temporal symmetry of inter-digit tapping and potentially reflects a rudimentary finger grasping pattern. This was accomplished by analysing the metacarpophalangeal (MCP) angle of subjects’ fingers, measured by an infrared hand-motion sensor, during finger-tapping tasks. Subjects performed alternate or simultaneous rhythmic tapping tasks between two adjacent fingers among the thumb, index, and middle fingers while the MCP angle for the fingers was measured. Using the oscillating nature of the MCP angles for each finger, we established phase difference as a metric to describe relative interdigital motion. We identified congruency in phase difference between the alternate inter-digit tapping pattern and the rudimentary grasping pattern. Experimental results with phase analysis suggest that alternate inter-digit tapping, which is a rhythmic and intuitive task, is strongly correlated with the rudimentary grasping in kinematics, while the simultaneous tapping is not. Accordingly, we predict potential applications of alternate inter-digit finger tapping and its metrics in grasping diagnostics and rehabilitation monitoring.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100183"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239682","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":"Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction","authors":"Esmat Ramezanzadeh ,&nbsp;Naser Shoeibi ,&nbsp;Akram Feizabadi ,&nbsp;Touka Banaee ,&nbsp;Mohammad Hossein Bahreyni Tussi ,&nbsp;Meysam Tavakoli","doi":"10.1016/j.bea.2025.100180","DOIUrl":"10.1016/j.bea.2025.100180","url":null,"abstract":"<div><h3>Background</h3><div>Diabetic retinopathy (DR) screening requires accurate detection of hard exudates (HEs) in retinal images. This study presents a novel method that integrates textural-based Radon transform (RT) with morphological image processing techniques to automate the detection and segmentation of HEs in color fundus photography (CFP) images. By enhancing the diagnostic capabilities for DR, this approach aims to provide ophthalmologists with a reliable and efficient tool for identifying early signs of vascular damage associated with diabetes.</div></div><div><h3>Method</h3><div>The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). We developed an automated method for detecting HEs in CFP images. The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. Key techniques include Radon transform for optical disc, vessels and soft and hard exudate feature extraction, and morphological reconstruction for enhancing detection accuracy. We employed Kirsch edge detection to distinguish HEs based on edge sharpness and utilized Top-Hat transformation to highlight small-scale features. The method integrates clinical expertise with computational techniques to differentiate between morphologically similar lesions. Performance was assessed through classification and pixel-based classification. metrics.</div></div><div><h3>Results</h3><div>The proposed algorithm demonstrated high performance in pixel-based classification, achieving best sensitivity of 92 %, and specificity 100 %. In lesion-based classification, the model achieved 100 % sensitivity and 100 % specificity on MUMS-DB datasets in the best case.</div></div><div><h3>Conclusion</h3><div>This integrated methodology successfully addresses the challenging task of differentiating between morphologically similar lesions, representing a significant advancement in automated DR screening. While performance varied between datasets, the results demonstrate strong potential for clinical application.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100180"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168927","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":"2025-05-16","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":"Robust and sparse estimator for EEG source localization","authors":"Teja Mannepalli ,&nbsp;Aurobinda Routray","doi":"10.1016/j.bea.2025.100177","DOIUrl":"10.1016/j.bea.2025.100177","url":null,"abstract":"<div><div>EEG source localization involves reconstructing brain activity from observed EEG measurements, a critical task for diagnosing various neurological disorders. The distributed approach to this problem is inherently ill-posed, posing significant challenges. In this study, we present a sparsity-controlled Lorentzian norm-based method for EEG source localization. This approach effectively balances robustness to measurement noise and sparsity in the solution.</div><div>The proposed method employs a non-linear conjugate gradient descent algorithm to minimize the loss function, where the Lorentzian norm replaces the conventional <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> norm. The Lorentzian norm’s unique ability to handle impulsive noise ensures precise estimation of active sources, even under challenging conditions. Comparative analyses with <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>, <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><mrow><msub><mrow><mi>ℓ</mi></mrow><mrow><mi>p</mi></mrow></msub><mo>,</mo><mi>p</mi><mo>&lt;</mo><mn>1</mn></mrow></math></span> norm-based methods highlight the Lorentzian norm’s superior robustness and sparsity control. The results demonstrate that this novel approach improves the accuracy and reliability of EEG source localization, making it a valuable tool for medical applications.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069188","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":"State-of-the-art fall detection techniques with emphasis on floor-based systems—A review","authors":"Amrit Pal Kaur ,&nbsp;Ejay Nsugbe ,&nbsp;Amy Drahota ,&nbsp;Matthew Oldfield ,&nbsp;Iman Mohagheghian ,&nbsp;Radu A. Sporea","doi":"10.1016/j.bea.2025.100179","DOIUrl":"10.1016/j.bea.2025.100179","url":null,"abstract":"<div><div>The Arthritis patients and aging population has challenged society to develop safer, independent living environments. Falls, associated injuries, and delays in fall treatment are major causes of morbidity and death in older adults. Therefore, fall detection systems are fundamental to reducing fall risks and building safer environments. Designing fall detection systems is an emerging field of research. The development of the system relies on a sensing mechanism, processing unit, and communication to alert the emergency facilities. Each module is crucial in providing a cost-effective, accurate, reliable, and robust solution. Technological advancements in fall detection systems, particularly wearable and non-wearable devices, offer promising solutions. Wearable systems are prevalent due to their cost-effectiveness and ease of installation, but they can be unreliable if not worn consistently. Non-wearable systems, including smart flooring, provide continuous monitoring but are expensive and complex to maintain. This article reviews the development and deployment of fall detection technologies, examining their practical limitations and emphasizing floor-based detection systems as a viable solution for fostering independent living among older adults.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100179"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115766","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":"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":"2025-05-08","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}

{"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":"2025-05-03","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":"In silico model of mechano-biochemical bone remodeling characterizes the therapeutic effects of osteoporosis drugs depending on the action mechanism","authors":"Yoshitaka Kameo ,&nbsp;Kei Imai ,&nbsp;Yuki Miya ,&nbsp;Young Kwan Kim ,&nbsp;Taiji Adachi","doi":"10.1016/j.bea.2025.100176","DOIUrl":"10.1016/j.bea.2025.100176","url":null,"abstract":"<div><div>Osteoporosis stems from an imbalance between bone resorption and formation during bone remodeling, a mechano-biochemical coupling event that intercellular signaling regulates among the bone cells in response to the mechanical environment. Osteoporosis treatment necessitates the modulation of impaired bone remodeling by drug administration to restore an appropriate balance in bone resorption–formation. Characterizing the therapeutic effects of osteoporosis drugs based on their molecular mechanisms of action is crucial to prevent adverse effects and improve the therapeutic efficacy. Herein, we characterized the therapeutic effects of osteoporosis drugs using an <em>in silico</em> model of mechano-biochemical bone remodeling, enabling examination of its spatial and temporal behaviors. We conducted computer simulations to assess osteoporosis drug treatments using two drugs with different mechanisms of action: an anti-receptor activator of nuclear factor-κB ligand (RANKL) antibody (denosumab) and a RANKL production inhibitor. Both drugs restored functionally-adapted trabecular bone morphology when dosages were appropriately adjusted. However, denosumab exhibited more stable therapeutic effects despite dosage changes in osteoporosis treatment. Thus, our medication simulation effectively depicted the therapeutic effects of osteoporosis drugs, illustrating their efficacy based on their mechanisms of action. We expect that medication simulations utilizing an <em>in silico</em> model of mechano-biochemical bone remodeling will expedite the drug discovery process by thoroughly analyzing molecular, cellular, tissue, and organ dynamics during drug treatment.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100176"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929469","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":"2025-05-01","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}