Frontiers in medical technology最新文献

{"title":"Case Report: <i>Listeria monocytogenes meningitis</i> complicated by an acute exacerbation of chronic obstructive pulmonary disease: the key diagnostic role of metagenomic high-throughput sequencing.","authors":"Yiwei Chen, Dacheng Tian, Yixuan Bai, Jinhui Xu, Shuaichun Liu, Yanwen Wang, Xingfang Li","doi":"10.3389/fmedt.2026.1801483","DOIUrl":"10.3389/fmedt.2026.1801483","url":null,"abstract":"<p><strong>Background: </strong><i>Listeria monocytogenes</i> is an opportunistic foodborne pathogen that causes severe invasive infections, such as meningitis, primarily in immunocompromised individuals, the elderly, and pregnant women. Diagnosis is often challenging due to nonspecific early symptoms.</p><p><strong>Case description: </strong>A 67-year-old male with a history of chronic obstructive pulmonary disease (COPD) presented with a 4-day history of persistent high-grade fever and altered mental status. Initial empirical antibiotic therapy (meropenem) proved ineffective.Metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) definitively identified <i>L.monocytogenes</i>. The patient was diagnosed with \"Listeria monocytogenes meningitis complicated by an acute exacerbation of chronic obstructive pulmonary disease\". Patients with pathogenic bacterial infections completed a 21-day course of ampicillin and sulbactam sodium and a 14-day course of gentamicin, resulting in a rapid improvement in clinical symptoms and biochemical parameters.</p><p><strong>Conclusion: </strong>This case underscores the critical role of mNGS in the aetiological diagnosis of central nervous system infections, especially when conventional methods are inconclusive. It highlights the need for a high index of suspicion for listeriosis in elderly patients with comorbidities presenting with unexplained fever and neurological decline.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1801483"},"PeriodicalIF":4.6,"publicationDate":"2026-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13291073/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148335160","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":"China's regulatory regime for medical biotechnology: evolution, challenges, and future perspectives.","authors":"Enkai Zhang","doi":"10.3389/fmedt.2026.1805452","DOIUrl":"10.3389/fmedt.2026.1805452","url":null,"abstract":"<p><p>Modern medical biotechnology, while reshaping human healthcare and enhancing social welfare, may also pose biological risks. During the past 40 years, China has made considerable strides in becoming a global leader in biotechnology, necessitating a systematic review of the evolution, current state, and challenges of its regulatory framework. This paper traces the policy trajectory and institutional evolution of China's medical biotech regulation and conducts a policy evaluation within the historical context based on a comprehensive review of laws, regulations, and ministerial rules issued since the 1980s. The biorisk management system is divided into three components and China's policy evolving process into three stages. The analysis is focused on the driving forces of the regulatory policies, the shift of regulatory philosophy, the expansion of regulatory coverage, the current legal and organizational frameworks, and the challenges faced. We find that China's medical biotech regulatory policies have evolved over the past 40 years into a comprehensive regime, spanning the full cycle of research, application and export and covering the dual dimension of security and ethics. It is now supported by multi-tiered laws and regulations, and executed by specialized coordination mechanisms. However, the existing system still falls short in addressing the risks of technological convergence, clarifying the regulatory boundary, strengthening ethical constraints, and enhancing public engagement. Accordingly, we recommend that the agility, clarity, and inclusiveness of China's medical biotech governance should be further improved.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1805452"},"PeriodicalIF":4.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13287915/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148321380","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":"Ultradeformable liposomal delivery of vismodegib modulates its biological activity in melanoma cells.","authors":"Maria Natalia Calienni, Cristian Sandoval-Acuña, Petra Potomová, David Emanuel Ybarra, Jaroslav Truksa, Jorge Montanari","doi":"10.3389/fmedt.2026.1826970","DOIUrl":"10.3389/fmedt.2026.1826970","url":null,"abstract":"<p><strong>Introduction: </strong>Vismodegib (VDG), a Smoothened inhibitor approved for basal cell carcinoma, has potential for repurposing in other tumors in which Hedgehog (Hh) signaling contributes to malignancy. However, systemic VDG treatment is associated with relevant adverse effects, and its effective delivery to cutaneous targets remains challenging, supporting the exploration of drug delivery systems for its administration.</p><p><strong>Methods: </strong>Here, we first screened the response to VDG across four murine tumor cell lines-B16 melanoma, 4T1 mammary carcinoma, Colon-26 colon carcinoma, and LLC1 Lewis lung carcinoma-and then evaluated whether nanocarrier-based delivery could modify its activity in melanoma cells.</p><p><strong>Results: </strong>Free VDG produced moderate effects across the screened models, with B16 emerging as the most responsive model showing evidence of growth inhibition together with modulation of Hh-related markers. In this setting, encapsulation of VDG into ultradeformable liposomes (UDL), specially designed for topical application, significantly changed the biological response to treatment, producing a stronger cytotoxic response, concentration-dependent inhibition of cell population expansion, and increased accumulation of dead cells compared with the free drug. An exploratory PAMAM G4.5 dendrimer-based formulation did not show detectable biological effects at the tested concentration, which was constrained by the need to maintain subtoxic dendrimer levels. Although no significant transcriptional changes were detected at the analyzed time point, reduced Gli-1 expression at higher concentrations suggested some degree of Hh pathway modulation by UDL-VDG. However, the enhanced biological effect of UDL-VDG could not be explained solely by canonical Hh inhibition, and responses varied across melanoma models.</p><p><strong>Discussion: </strong>Overall, these results show that ultradeformable liposomal delivery potentiates the in vitro anti-melanoma activity of VDG and supports its further exploration as a repurposing strategy for candidate non-metastatic cutaneous melanoma. More broadly, these findings support the rationale for topical nanocarrier-based delivery as an approach that could potentially improve local drug availability while helping to reduce some of the limitations associated with systemic administration.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1826970"},"PeriodicalIF":4.6,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13295005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148347993","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":"Gold nanoparticles in skin drug delivery: a bibliometric analysis of research trends from 2015 to 2025.","authors":"Mohammed Arif, Karim Mousa, Haider Butt","doi":"10.3389/fmedt.2026.1808952","DOIUrl":"10.3389/fmedt.2026.1808952","url":null,"abstract":"<p><p>Gold nanoparticles (AuNPs) have emerged as highly effective nanocarriers for skin drug delivery due to their tunable physicochemical properties, large surface area, and ease of functionalization. Over the past decade, research in this field has expanded rapidly, driven by advances in nanotechnology and increasing interest in non-invasive topical and transdermal-based therapies. In this study, a comprehensive bibliometric analysis was conducted to evaluate global research trends in gold nanoparticle-based skin drug delivery between January 1, 2015, to December 31, 2025. using the Web of Science and Scopus databases. Publications were identified through structured keyword-based searches focused on \"gold nanoparticles\" and \"skin drug delivery\", and analyzed for publication output, leading contributors, research areas, and keyword co-occurrence using VOSviewer. The results reveal a significant growth in publications, particularly after 2020, with major contributions from Asia, especially India and China. Key research themes include wound healing, antibacterial applications, and skin cancer treatment, with an increasing emphasis on nanocarrier design and controlled drug-delivery systems. This study provides a systematic overview of the research landscape, offering insights into emerging trends and influential contributors. However, it is limited by database selection, potential keyword bias, and the descriptive nature of bibliometric analysis, which does not include experimental validation. Despite these limitations, the findings contribute to a clearer understanding of the development and future direction of gold nanoparticle-based skin drug delivery research.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1808952"},"PeriodicalIF":4.6,"publicationDate":"2026-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13272481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148280598","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":"Public trust in AI-enabled telemedicine: affective, cognitive, and structural dimensions insights from multi-platform big data analytics.","authors":"Faisal Binsar, Mohammad Hamsal, Erwin Tenggono, Maman Abdurohman, Ridha Hanafi, Indra Wahyudi","doi":"10.3389/fmedt.2026.1789495","DOIUrl":"10.3389/fmedt.2026.1789495","url":null,"abstract":"<p><p>Artificial intelligence (AI) is transforming healthcare delivery, with telemedicine emerging as one of its most viable and socially impactful applications, raising important questions about how public trust is formed and sustained in AI-enabled healthcare environments. Yet, despite rapid technological adoption, public trust in AI-enabled telemedicine remains insufficiently understood, particularly across the diverse online environments where perceptions are collectively shaped. This study employs a sociotechnical, multi-platform big data analytics approach to quantify and interpret public trust in large-scale digital discourse. A total of 25,396 online mentions collected between 14 September and 14 October 2025 from news, social media, blogs, video, and web platforms were analyzed using a hybrid framework combining lexicon-based sentiment analysis (<i>VADER</i>), transformer-based contextual modeling (<i>RoBERTa</i>), and topic modeling (<i>BERTopic</i>). The results indicate a consistently positive sentiment orientation (<i>aggregate Trust Index = +0.84</i>), suggesting a favorable public outlook toward AI-enabled telemedicine during the observation period. Affective trust is more prominent in visual and community-based media, while cognitive and structural trust are more salient in institutional and professional contexts. These results inform an integrated conceptual model of public trust formation in AI-enabled telemedicine, conceptualizing trust as a multidimensional sociotechnical construct. Rather than introducing a novel methodology, this study demonstrates the integrative application of established computational techniques to capture public sentiment at scale. These insights provide practical guidance for healthcare providers, policymakers, and AI developers to design more transparent, patient-centered, and trustworthy telemedicine systems.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1789495"},"PeriodicalIF":4.6,"publicationDate":"2026-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13269267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148274354","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":"Attention-guided and MIL-constrained CycleGAN for high-fidelity virtual p16 and Ki-67 staining.","authors":"Xinli Lei, Yuefeng Xie, Andi Duan, Yuhang Wu, Linhong Liao, Xi Wang","doi":"10.3389/fmedt.2026.1783365","DOIUrl":"10.3389/fmedt.2026.1783365","url":null,"abstract":"<p><p>Cervical intraepithelial neoplasia (CIN) grading relies on both morphological assessment from hematoxylin and eosin (H&E) slides and biomarker expression from immunohistochemistry (IHC), such as p16 and Ki-67. However, conventional IHC staining is time-consuming, costly, and requires additional tissue sections. To address these limitations, we propose an attention-guided and multi-instance learning (MIL) constrained CycleGAN framework for high-fidelity virtual IHC staining generation from H&E images. To better utilize the correspondence between H&E and IHC slides, we adopt a weakly paired training strategy. Specifically, whole-slide image registration is first applied to align H&E and corresponding IHC slides, followed by patch-level pairing for model training. Considering the inherent spatial misalignment between adjacent tissue sections, the proposed framework integrates attention-guided constraints and MIL-based supervision to enhance structural consistency and biomarker distribution reliability. In addition to quantitative image-level and diagnostic evaluations, we further conduct an expert-based clinical assessment. Two experienced pathologists independently evaluated CIN grading using H&E slides with and without virtual staining. The results demonstrate that the inclusion of virtual IHC improves diagnostic performance, supporting the clinical utility of the proposed method. To evaluate generalization capability, we additionally validate the model on an external dataset (ACROBAT) under cross-domain conditions. This experiment is designed to assess robustness rather than direct task alignment, providing supplementary evidence of model transferability. We also acknowledge the potential risk of false-positive biomarker synthesis in virtual staining. To address this, we incorporate statistical consistency constraints and provide quantitative evaluation, including diagnostic consistency and expert assessment, which together support the biological plausibility of the generated staining patterns. Overall, the proposed framework provides a practical and clinically relevant solution for virtual IHC generation, achieving superior performance across key evaluation metrics including accuracy (ACC), area under the curve (AUC), and kappa scores, while also demonstrating improved diagnostic support and cross-domain generalization capability.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1783365"},"PeriodicalIF":4.6,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13270425/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148274322","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":"Effectiveness of electropolishing step on elimination of upstream manufacturing material residues on metallic orthopaedic medical device.","authors":"Karolina Godlewska, Christopher Joseph Graham, Michael Frohbergh, Srivaths Kalyan, Rasagnya Viswanadha, Philippe Hasgall","doi":"10.3389/fmedt.2026.1803156","DOIUrl":"10.3389/fmedt.2026.1803156","url":null,"abstract":"<p><p>Orthopaedic medical device manufacturing often utilizes manufacturing materials or processing aids that can remain on device surfaces as residues and result in leachable chemicals to which patients can be exposed upon contact with the device. Manufacturing steps that modify a device surface through electrochemical means such as electropolishing can remove manufacturing material residues and be considered as surface \"reset\" in the manufacturing process. In this report, a retrospective analysis of chemical characterization data gathered for medical devices subjected to electropolishing steps during the manufacturing process is summarized. Review of the extractables data from metallic medical devices demonstrated that electropolishing operations effectively remove the residues originating from manufacturing materials utilized upstream of electropolishing. Based on this retrospective review, electropolishing can serve as a surface \"reset\" point in the manufacturing process in biological safety evaluations, thereby reducing the overall testing requirements, including animal testing, in alignment with the ISO 10993 framework.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1803156"},"PeriodicalIF":4.6,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13253740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148255139","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":"Mamba-ADR: adverse drug reaction detection from social-media using state-space regression model.","authors":"Shanwen Zhang, Ting Zhang, Yahong Ma","doi":"10.3389/fmedt.2026.1786957","DOIUrl":"10.3389/fmedt.2026.1786957","url":null,"abstract":"<p><p>Drug adverse reactions (ADRs) is vital to minimize health risks and reduce drug development costs. Extracting ADRs (ADRE) from social media is a vital supplement to conventional pharmacovigilance databases. However, it remains particularly challenging due to the informal and noisy nature of usergenerated content. It combines the state space model with the convolutional module to efficiently capture long-range dependencies and extract more discriminative features, while completing the recognition and quantification of ADRs through a regression module. Experiments on the MedHelp Medical Forum dataset demonstrates that Mamba-ADR has a low computational complexity and an accuracy rate of 78.1%, and is superior to the state-of-the art methods. It provides a promising tool for ADRE in in drug discovery and development.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1786957"},"PeriodicalIF":4.6,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13253678/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148255171","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":"A registration method for total hip arthroplasty navigation system based on point cloud alignment.","authors":"Zhenling Wang, Qiurui He, Xinwei Yue","doi":"10.3389/fmedt.2026.1775840","DOIUrl":"10.3389/fmedt.2026.1775840","url":null,"abstract":"<p><p>Hip replacement surgery requires high precision in aligning intraoperative anatomical structure localization with preoperative imaging spatial alignment. To address the registration difficulties caused by the limited number and sparse distribution of intraoperative probe acquisition points, our paper proposes a method based on point cloud registration between an intraoperative probe tracked by a passive binocular optical tracking system (NDI) and a CT surface, aimed at improving patient registration accuracy in intraoperative navigation scenarios. First, we define the patient-registration problem and describe the methods for acquiring pre-operative and intra-operative data. Subsequently, the centroids of the NDI optical tracking markers are employed as common features shared by the patient and image spaces, and an initial registration is performed using a three-point method. Finally, an improved ICP algorithm is used to perform accurate registration between the two point clouds, and the registration results are validated using a fixture platform. In the experiments conducted on 3D-printed acetabular and femoral models, the target registration errors (TRE) of the proposed method for registering the acetabular model and the femoral model are (0.55 <math><mo>±</mo></math> 0.15) mm and (0.67 <math><mo>±</mo></math> 0.18) mm, respectively. The experimental results demonstrate that the proposed method achieves good registration accuracy and stability under phantom experimental conditions. Using the TRE as the primary evaluation metric to measure the spatial localization error of target points, the method exhibits superior geometric registration performance compared to the traditional iterative closest point (ICP) algorithm. Additionally, it features a concise workflow and ease of implementation, providing a feasible technical solution for sparse point cloud registration in intraoperative navigation scenarios.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1775840"},"PeriodicalIF":4.6,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13219043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148140472","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":"Real-time face keypoint detection for pre-anesthetic assessment with optimized YOLO11 model based on DeBiFormer.","authors":"Daotong Wang, Jianbo Su","doi":"10.3389/fmedt.2026.1780084","DOIUrl":"10.3389/fmedt.2026.1780084","url":null,"abstract":"<p><strong>Introduction: </strong>Pre-anesthetic assessment involves a series of evaluations for airway management. However, the lack of quantitative analysis may limit its reliability. In this study, we propose an optimized YOLO11-Pose framework with a DeBiFormer module for automated, image-based pre-anesthetic assessment.</p><p><strong>Methods: </strong>The proposed model performs single-stage inference to localize clinically relevant facial and hand keypoints associated with mouth opening, thyromental distance, and neck mobility. The framework was evaluated on a dataset collected from Ruijin Hospital under controlled acquisition conditions.</p><p><strong>Results: </strong>Experimental results demonstrated high detection performance. Measurement-based evaluations, including Bland-Altman analysis, pixel-level error, and normalized mean error (NME), indicated reliable agreement with reference annotations. In addition, Mallampati classification was evaluated to assess clinical applicability. The model achieved an accuracy of 77.34% in the four-class setting and improved performance in a clinically motivated binary setting, with an accuracy of 83.99% and a quadratic weighted kappa of 0.65, indicating substantial agreement.</p><p><strong>Discussion: </strong>These results suggest that the proposed method provides robust and clinically meaningful assessment of airway characteristics and may support automated pre-anesthetic evaluation in clinical practice.</p>","PeriodicalId":94015,"journal":{"name":"Frontiers in medical technology","volume":"8 ","pages":"1780084"},"PeriodicalIF":4.6,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13212266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148059074","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}