Frontiers in medical technology最新文献

{"title":"Analysis of small extracellular vesicles from dried blood spots.","authors":"Rikke Bæk, Jenni Kathrine Sloth, Mohammad Mehedi Hasan, Getnet Midekessa, Malene Møller Jørgensen","doi":"10.3389/fmedt.2025.1494239","DOIUrl":"10.3389/fmedt.2025.1494239","url":null,"abstract":"<p><p>This protocol paper describes how to extract small extracellular vesicles (sEVs) from dried blood spots (DBS). The methodology is described in detail and offers further evidence that the extracted particles are sEVs using western blotting (anti-CD9, CD63 and CD81) and fluorescence nanoparticle tracking analysis (fNTA). In addition, we present evidence that approximately 40% of the sEVs were recovered from DBS compared with EVs analyzed from plasma directly. The protocol proves to be robust, reliable and displays very interesting performances even after several weeks (up to 3 weeks) of storage of the DBS when analyzing the sEVs using protein microarray for the presence of the markers CD9, CD63, CD81, EpCAM, Flotilin-1, CD62E/P, CD142 and CD235a. These findings have important implications for using sEVs as future potential diagnostic tools by supporting the validity of less-invasive methods that can be implemented within vulnerable populations or in the field.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1494239"},"PeriodicalIF":2.7,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392796","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":"Bibliometrics of the current state of application of teletechnology in the rehabilitation of patients with heart and large blood vessel disease.","authors":"Sican Wang, Ping Yu, Xuemei Zhou, Yuan Yuan, Jian Chen, Dongmei Chen, Jingyan Liang, Li Xu","doi":"10.3389/fmedt.2024.1382316","DOIUrl":"10.3389/fmedt.2024.1382316","url":null,"abstract":"<p><p>The first publication on the use of teletechnology in heart and large blood vessels dates back to 1961. Since then, the study of teletechnology in heart and large blood vessels has become popular, and the number of publications has drastically increased. Hence, it is imperative to establish a comprehensive research framework that enables researchers and other stakeholders to understand the use of remote technologies in heart and large blood vessels. To bridge this gap, bibliometrics was used, a novel approach to determine the most prolific countries, institutions, journals, authors, source topics, funding agencies, and the most popular category of remote technologies and solutions for disease rehabilitation. The corpus was extracted from the WOS core database and analyzed using CiteSpace 6.2R7 and VOS Viewer 1.6.18 versions. The number of publications has grown since the start of the 21st century, with the United States, the United Kingdom, and Italy being the most productive nations. The most commonly used remote technology was a 24 h dynamic electrocardiogram (ECG) and ambulatory blood pressure monitoring. The most researched objective indicators were heart rate, blood pressure, and cardiac output. The primary research focused on daily life, physical activity, exercise endurance, and quality of life. Moreover, heart failure and coronary artery disease were the most extensively researched diseases.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1382316"},"PeriodicalIF":2.7,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794271/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257536","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":"Beyond sensitivity: what are the enabling opportunities of OPM-MEG?","authors":"Timothy P L Roberts, Charlotte Birnbaum, Luke Bloy, William Gaetz","doi":"10.3389/fmedt.2025.1515548","DOIUrl":"10.3389/fmedt.2025.1515548","url":null,"abstract":"<p><p>While optically-pumped magnetometer (OPM) technology offers a number of compelling advantages over its SQUID predecessor for magnetoencephalography (MEG), many studies and viewpoints focus on issues of (i) scalp placement, with commensurate increases in sensitivity to weak magnetic fields and (ii) room temperature operation (without the need for baths of liquid helium to maintain superconducting properties of SQUIDs). This article addresses another unique and tantalizing opportunity-the ability for the OPM array to be \"wearable\", and thus to move with the participant. This is critical in adoption of naturalistic paradigms that move beyond \"laboratory neuroscience\" toward \"real world neuroscience\". It is also critically important in application to pediatric populations who cannot or will not remain still during conventional MEG scan procedures. Application to the developing infant brain will be considered as well as application to pediatric neuropsychiatric and developmental disorders, such as autism spectrum disorder. Rather than present solutions, this article will highlight the challenges faced by conventional SQUID-based cryo-MEG and explore the potential avenues for OPM-MEG to make a positive impact to the field of pediatric neuroscience.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"7 ","pages":"1515548"},"PeriodicalIF":2.7,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11790644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257542","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":"Artificial intelligence-powered innovations in periodontal diagnosis: a new era in dental healthcare.","authors":"Jarupat Jundaeng, Rapeeporn Chamchong, Choosak Nithikathkul","doi":"10.3389/fmedt.2024.1469852","DOIUrl":"10.3389/fmedt.2024.1469852","url":null,"abstract":"<p><strong>Background: </strong>The aging population is increasingly affected by periodontal disease, a condition often overlooked due to its asymptomatic nature. Despite its silent onset, periodontitis is linked to various systemic conditions, contributing to severe complications and a reduced quality of life. With over a billion people globally affected, periodontal diseases present a significant public health challenge. Current diagnostic methods, including clinical exams and radiographs, have limitations, emphasizing the need for more accurate detection methods. This study aims to develop AI-driven models to enhance diagnostic precision and consistency in detecting periodontal disease.</p><p><strong>Methods: </strong>We analyzed 2,000 panoramic radiographs using image processing techniques. The YOLOv8 model segmented teeth, identified the cemento-enamel junction (CEJ), and quantified alveolar bone loss to assess stages of periodontitis.</p><p><strong>Results: </strong>The teeth segmentation model achieved an accuracy of 97%, while the CEJ and alveolar bone segmentation models reached 98%. The AI system demonstrated outstanding performance, with 94.4% accuracy and perfect sensitivity (100%), surpassing periodontists who achieved 91.1% accuracy and 90.6% sensitivity. General practitioners (GPs) benefitted from AI assistance, reaching 86.7% accuracy and 85.9% sensitivity, further improving diagnostic outcomes.</p><p><strong>Conclusions: </strong>This study highlights that AI models can effectively detect periodontal bone loss from panoramic radiographs, outperforming current diagnostic methods. The integration of AI into periodontal care offers faster, more accurate, and comprehensive treatment, ultimately improving patient outcomes and alleviating healthcare burdens.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1469852"},"PeriodicalIF":2.7,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11757292/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049220","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":"Corrigendum: Modeling flow in an <i>in vitro</i> anatomical cerebrovascular model with experimental validation.","authors":"Saurabh Bhardwaj, Brent A Craven, Jacob E Sever, Francesco Costanzo, Scott D Simon, Keefe B Manning","doi":"10.3389/fmedt.2024.1533412","DOIUrl":"https://doi.org/10.3389/fmedt.2024.1533412","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fmedt.2023.1130201.].</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1533412"},"PeriodicalIF":2.7,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11738945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018925","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":"US regulatory compliance for medical combination products: an overview.","authors":"Manav V Singh, Prafulla Apshingekar, Sanyam Gandhi, Om V Singh","doi":"10.3389/fmedt.2024.1486318","DOIUrl":"10.3389/fmedt.2024.1486318","url":null,"abstract":"<p><p>This article provides a high-level overview of US regulatory review and approval processes for the growing field of medical combination products (CPs; those merging drugs with devices and/or biological products). US law defines drugs, medical devices, and CPs in specific ways, and the components of a CP are still subject to their respective regulations while combined. The Food and Drug Administration's Office of Combination Products (OCP) oversees the review and classification of CPs, which is based on their primary mode of action. When a manufacturer submits a Request for Designation for a new CP, the OCP conducts a technical and clinical evaluation to identify risks and verify modes of action and therapeutic benefits. Evaluating the safety and efficacy of CPs and their constituent parts can be challenging due to the many potential interactions. However, as innovation continues in the health care landscape and the variety of CPs on the market increases, manufacturers must stay proactive in complying with regulatory standards and keeping their products safe.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1486318"},"PeriodicalIF":2.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11684512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908118","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":"Analyzing gait data measured by wearable cyborg hybrid assistive limb during assisted walking: gait pattern clustering.","authors":"Yasuko Namikawa, Hiroaki Kawamoto, Akira Uehara, Yoshiyuki Sankai","doi":"10.3389/fmedt.2024.1448317","DOIUrl":"10.3389/fmedt.2024.1448317","url":null,"abstract":"<p><strong>Introduction: </strong>The wearable cyborg Hybrid Assistive Limb (HAL) is a therapeutic exoskeletal device that provides voluntary gait assistance using kinematic/kinetic gait data and bioelectrical signals. By utilizing the gait data automatically measured by HAL, we are developing a system to analyze the wearer's gait during the intervention, unlike conventional evaluations that compare pre- and post-treatment gait test results. Despite the potential use of the gait data from the HAL's sensor information, there is still a lack of analysis using such gait data and knowledge of gait patterns during HAL use. This study aimed to cluster gait patterns into subgroups based on the gait data that the HAL automatically collected during treatment and to investigate their characteristics.</p><p><strong>Methods: </strong>Gait data acquired by HAL, including ground reaction forces, joint angles, trunk angles, and HAL joint torques, were analyzed in individuals with progressive neuromuscular diseases. For each measured item, principal component analysis was applied to the gait time-series data to extract the features of the gait patterns, followed by hierarchical cluster analysis to generate subgroups based on the principal component scores. Bayesian regression analysis was conducted to identify the influence of the wearer's attributes on the clustered gait patterns.</p><p><strong>Results: </strong>The gait patterns of 13,710 gait cycles from 457 treatments among 48 individuals were divided into 5-10 clusters for each measured item. The clusters revealed a variety of gait patterns when wearing the HAL and identified the characteristics of multiple sub-group types. Bayesian regression models explained the influence of the wearer's disease type and gait ability on the distribution of gait patterns to subgroups.</p><p><strong>Discussion: </strong>These results revealed key differences in gait patterns related to the wearer's condition, demonstrating the importance of monitoring HAL-assisted walking to provide appropriate interventions. Furthermore, our approach highlights the usefulness of the gait data that HAL automatically measures during the intervention. We anticipate that the HAL, designed as a therapeutic device, will expand its role as a data measurement device for analysis and evaluation that provides gait data simultaneously with interventions, creating a novel cybernics treatment system that facilitates a multi-faceted understanding of the wearer's gait.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1448317"},"PeriodicalIF":2.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11682894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908113","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":"Navigating regulatory and policy challenges for AI enabled combination devices.","authors":"Snigdha Santra, Preet Kukreja, Kinshuk Saxena, Sanyam Gandhi, Om V Singh","doi":"10.3389/fmedt.2024.1473350","DOIUrl":"10.3389/fmedt.2024.1473350","url":null,"abstract":"<p><p>In recent years, the Artificial Intelligence (AI) has enabled conventional Combination Devices (CDs) to innovate in healthcare merging with technology sectors. However, the challenges like reliance on predicate devices in US Food and Drug Administration (FDA's 510(k) pathway, especially for perpetually updating AI are stressed. Though the European Union (EU's new Medical Device Regulations address software and AI, fitting adaptive algorithms into conformity assessments remains difficult. The urgent need for frameworks cognizant of AI risks like model degradation and data biases is emphasized. Insights from recalled devices and case studies elucidate challenges in regulatory navigation for manufacturers. Adaptive policy frameworks balancing patient safeguards and rapid innovation are proposed. Recommendations target regulators and policy makers, advocating global standards to enable safe, effective and equitable AI adoption. This article aims to examine AI-enabled combination device regulation, inspecting US and EU strategies as well as obstacles for manufacturers and regulators.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1473350"},"PeriodicalIF":2.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820267","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":"Myeloperoxidase enzyme-catalyzed breakdown of zero-dimension carbon quantum dots.","authors":"Pooja Singh, Lalit Kumar Singh","doi":"10.3389/fmedt.2024.1493288","DOIUrl":"10.3389/fmedt.2024.1493288","url":null,"abstract":"<p><p>Carbon quantum dots (CQDs) have shown considerable interest in multiple fields including bioimaging, biosensing, photocatalysis, ion sensing, heavy metal detection, and therapy due to highly tunable photoluminescence and good photostability. Apart from having optical properties CQDs offer several advantages such as low toxicity, environmental friendliness, affordability, and simple synthesis methods. Furthermore, by modifying their surface and functionality, it's possible to precisely control their physical and chemical characteristics. Nevertheless, the growing utilization of carbon-based nanomaterials (CNMs) requires thorough examination of their potential toxicity and long-term impacts on human health and biological systems. In this study, carbon quantum dots (CQDs) were synthesized via a microwave-assisted method using citric acid and urea as precursors, resulting in an average particle diameter of 10.73 nm. The CQDs were further characterized using SEM and FTIR analysis. The CQDs exhibited an excitation wavelength of 320 nm, displaying an emission peak at 430 nm. The enzymatic biodegradation of CQDs by human myeloperoxidase enzyme has been thoroughly investigated here. It is very crucial to understand how these carbon quantum dots interact with the innate immune system that plays a vital role in recognizing and clearing foreign particles. Human myeloperoxidase (MPO), a key enzyme highly expressed in neutrophil granulocytes during inflammatory responses, has been shown to facilitate the biodegradation of carbon quantum dots and various carbon-based nanomaterials through oxidative processes. As a member of the peroxidase family, MPO produces hypochlorous acid (HOCl) and a range of reactive intermediates to eliminate pathogens. Consequently, the study of the biodegradability of CQDs within biological systems is essential for accelerating technological advancements. Here, we have assessed breakdown of CQDs through an oxidative process facilitated by a myeloperoxidase (MPO)-based peroxide system. The human MPO enzyme acted as a catalyst for the CQD degradation, and the addition of hydrogen peroxide (H₂O₂) and sodium chloride (NaCl) was found to accelerate the reaction.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1493288"},"PeriodicalIF":2.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634592/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820263","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":"Reflexive eye saccadic parameters in Parkinson's disease.","authors":"Nemuel D Pah, Quoc C Ngo, Nicole McConnell, Barbara Polus, Peter Kempster, Arup Bhattacharya, Sanjay Raghav, Dinesh K Kumar","doi":"10.3389/fmedt.2024.1477502","DOIUrl":"10.3389/fmedt.2024.1477502","url":null,"abstract":"<p><strong>Introduction: </strong>Abnormal reactive saccade, with reduced saccadic gain, impaired smooth pursuit, and unwarranted reactions are clinically used to assess people with Parkinson's disease (PwPD). However, there are inconsistent findings related to other saccade parameters such as latency and transition times. This study aimed to identify differences in the reflexive saccade parameters of early stage PwPD and aged-matched control (AMC).</p><p><strong>Methods: </strong>In this observational study, the reactive eye-gaze was recorded for 70 participants (42 PwPD) and parameters of reflexive saccades and eye-gaze fluctuations were extracted. These parameters were then statistically analyzed using the Mann-Whitney <math><mi>U</mi></math> -test.</p><p><strong>Results: </strong>Results showed that PwPD had significantly shorter latency than AMC for reflexive saccadic movement away from the center of the screen. The overshoot as a fraction of the screen width, a measure of the inaccuracy in reaching the target, was also significantly higher for PwPD. PwPD had greater horizontal and vertical eye gaze fluctuation with a steady target. The numbers of invalid saccades, i.e., when the gaze goes in the opposite direction from the target movement or is considered anticipatory, were similar for both groups; PwPD with 33.43% and AMC with 25.71%.</p><p><strong>Discussion: </strong>This study shows that there are significant differences in the reflexive saccade of PwPD and AMC measured using an inexpensive eye-tracking device. The presence of invalid saccade trials, and differences between towards and away from screen center, both of which were not considered in earlier studies, may explain the discrepancies between earlier studies. The outcome of this study has the potential to be made a device that would assist neurologists in the assessment of PwPD.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"6 ","pages":"1477502"},"PeriodicalIF":2.7,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11625542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804201","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}