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Performance Enhancement of Electrochemiluminescence with the Immunosensor Controlled Using Magnetized Masks for the Determination of Epithelial Cancer Biomarker EpCAM

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Analytical Chemistry 2023年第2期95卷 986-993页

作者： Huang, Chun-Yao Lin, Feng-Yen Chang, Chi-Jung Lu, Chien-Hsing Chen, Jem-Kun Taipei Heart Institute Taipei Medical University 250 Wu-Hsing Street Taipei110 Taiwan Division of Cardiology and Cardiovascular Research Center Taipei Medical University Hospital 252 Wu-Hsing Street Taipei110 Taiwan Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University 250 Wu-Hsing Street Taipei110 Taiwan Department of Biomedical Sciences and Engineering National Central University 300 Zhongda Road Taoyuan City320317 Taiwan Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Sec. 4 Keelung Road Taipei106 Taiwan Department of Chemical Engineering Feng Chia University 100 Wenhwa Road Taichung40724 Taiwan Department of Obstetrics and Gynecology Taichung Veterans General Hospital 1650 Taiwan Boulevard Sect. 4 Taichung40705 Taiwan Institute of Biomedical Sciences Ph.D. Program in Translational Medicine Rong-Hsing Research Center for Translational Medicine National Chung-Hsing University Taichung940227 Taiwan

The performance of an electrochemiluminescence (ECL) immunosensor was improved with a particle gradient. SiO2-coated magnetic beads were adopted as nanocarriers for gradient manipulation and immobilized with the primary antibody. Cadmium telluride quantum dots were coated with a layer of protein G for conjugation and orientation of the secondary antibody as signal labels. ECL immunosensor gradients on the electrode were formed by magnetolithography (ML) with magnetized nickel masks of column and stripe arrays. The immunosensor generally aggregated as an island on the substrate, leading to a decrease of efficiency in the characteristic signals. Stripe arrays of magnetized nickel were designed to generate cylindrical magnetic flux on the substrate to improve the particle manipulation with the gradient. Various gradients of the sandwich-structured immunosensor substantially affected the electrochemical performance. Compared to the gradient-free immunosensor, the gradient of the immunosensor generated by ML using a 3 μm stripe array mask enhanced the ECL intensity ∼2.2 times. The results of quantification of epithelial cell adhesion molecules (EpCAM) with the gradient immunosensor showed a broad linear range (15-420 pg mL-1), a low limit of detection (5.5 pg mL-1), and high reliability for EpCAM-spiked serum samples, indicating that the immunosensor gradient substantially enhances the performance of the ECL assay. © 2022 American Chemical Society.

关键词： Immunosensors

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Joint Source Decomposition of Concurrent EEG-FMRI Data in Epilepsy and Control Groups 22

Joint Source Decomposition of Concurrent EEG-FMRI Data in Ep...

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22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Harding, J. Mason Pourmotabbed, Haatef Li, Yamin Rogge-Obando, Kimberly Wang, Kate Goodale, Sarah E. Wang, Shiyu Bibro, Camden Allee, Bergen Martin, Caroline Morgan, Victoria L. Englot, Dario J. Chang, Catie Departments of Electrical and Computer Engineering Vanderbilt University United States Departments of Biomedical Engineering Vanderbilt University United States Departments of Computer Science Vanderbilt University United States Neuroscience Graduate Program Vanderbilt University United States Departments of Radiology Vanderbilt University Medical Center United States Departments of Neurological Surgery Vanderbilt University Medical Center United States Vanderbilt Memory and Alzheimer's Center Vanderbilt University Medical Center United States

ISBN: (纸本)9798331520526

EEG and fMRI are complementary, noninvasive technologies for investigating human brain function. These modalities have been used to uncover large-scale functional networks and their disruptions in clinical populations. Given the high temporal resolution of EEG and high spatial resolution of fMRI, integrating these modalities can provide a more holistic understanding of brain activity. This work explores a multimodal source decomposition technique for extracting shared modes of temporal variation between fMRI BOLD signals and EEG spectral power fluctuations in the resting state. The resulting components are then compared between patients with focal epilepsy and controls, revealing multimodal network differences between groups. © 2025 IEEE.

关键词： Brain mapping

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Multiplex Magnetic Biosensor Microarrays Facilitate Personalized Vaccination Schedules for Sars-Cov-2 Variants

SSRN

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SSRN 2024年

作者： Um, Hyun-Kyung Kim, Songeun Wang, Shan X. Lee, Jung-Rok Department of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul03760 Korea Republic of Department of Materials Science and Engineering Stanford University Stanford CA94305 United States Department of Electrical Engineering Stanford University Stanford CA94305 United States

Rapid, sensitive, multiplexed antibody detection technologies are essential for assessing vaccine efficacy and recipient immunity against viruses. As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge, and the fact that novel viruses may pose potential threats in the near future, personalized vaccines can be precisely tailored to an individual’s measured immunity to help mitigate the symptoms of infection and viral spread. Here, we present giant magnetoresistive (GMR) biosensor microarrays for the quantitative multiplexed detection of antibodies against SARS-CoV-2 variants. The multiplexed GMR biosensor microarrays demonstrated high sensitivity, comparable to that of the single-plex enzyme-linked immunosorbent assay, enabling multiplexed measurements using blood obtained from finger pricks. Additionally, the GMR biosensor microarrays demonstrated compatibility with clinical samples and could detect variant-specific antibodies in serum, allowing for the assessment of current immunity status. Notably, an increased concentration of antibodies against the Omicron variant was clearly observed two weeks after receiving an Omicron-based booster vaccination. These results indicate that GMR biosensor microarrays offer a practical point-of-care tool for monitoring humoral immunity and guiding personalized vaccination schedules, thereby supporting immunity management against SARS-CoV-2 and future viral threats. © 2024, The Authors. All rights reserved.

关键词： Giant magnetoresistance

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Reexamining the ethical, legal, social, and cultural implications for cochlear implants through a novel neuroethics framework

Reexamining the ethical, legal, social, and cultural implica...

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2022 IEEE International Symposium on Technology and Society, ISTAS 2022

作者： Prins, Noeline W. Monteleone, Rebecca Soldado-Magraner, Joana Nash, Joanne E. Young, Michael J. Cabrera, Laura University of Ruhuna Faculty of Engineering Hapugala Sri Lanka University of Toledo Disability Studies Program Toledo United States Carnegie Mellon University Department of Biomedical Engineering Pittsburgh United States University of Toronto Department Biological Sciences Scarborough Canada Harvard University Harvard Medical School Division of Neurocritical Care United States Penn State University Department of Engineering Science and Mechanics United States

ISBN: (纸本)9781665484107

In the last few decades humanity has experienced a true technological revolution. The discoveries of this Information Era have found applications in myriad domains. Most recently, there has been an explosion of new information technologies designed to directly communicate with our bodies, and most notably, our brains. These so-called neurotechnologies might fundamentally transform the way we interact with the external world, and promise to revolutionize the medical field. Neurological and psychiatric conditions have been identified as some of the most pressing public health challenges of this century, given that relatively little is known about their causes, and that they are becoming a major concern among an increasingly aging population. Therefore, there is a tremendous incentive to promote the development of more advanced neurotechnologies. However, there has not been a similar drive to analyze the implications that such technologies might have on both individuals with these disorders, their caregivers and society in general. Here, as part of the IEEE Brain Neuroethics Initiative, we present a framework to analyze issues that might arise when designing and using a wide range of medical neurotechnologies. To illustrate the utility of our framework, we apply it to one of the most established medical neurotechnologies to date, cochlear implants. We highlight a range of ethical implications on safety, wellbeing, and agency, among other factors, as well as potential legal, societal and cultural considerations. Through this case study, we exemplify the benefits of analyzing neurotechnologies using our ethical framework, and encourage neurotechnology stakeholders such as researchers, engineers, clinicians, funding agents and end users to apply it in order to guide responsible development and deployment of neurotechnologies.1Authors contributed equally and both should be recognized as first author © 2022 IEEE.

关键词： Cochlear implants

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Biomechanical comparisons of dynamic fixators with rod-rod and screw-spacer joints on lumbar hybrid fixation

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Clinical Biomechanics 2023年 104卷 105943-105943页

作者： Xu, Yu-Kun Weng, Pei-Wei Chen, Shih-Hao Lin, Shang-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Orthopedics Shuang Ho Hospital Taipei Medical University Taipei Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan Department of Orthopaedics School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Research Center of Biomedical Device Taipei Medical University Taipei Taiwan Tzu Chi General Hospital at Taichung and Tzu Chi University Taiwan

Background: Hybrid fixators with quite different joint design concepts have been widely to suppress adjacent segment degeneration problems. The kinematic and kinetic responses of the adjacent and transition segments and contact behaviors at the bone-screw interfaces served as the objective of this study. Methods: The moderately degenerated L4/L5 and mildly degenerative L3/L4 segments were respectively immobilized by a static fixator and further bridged by the rod-rod (Isobar) and screw-spacer (Dynesys) fixator. The joint stiffness and mobility of the rod-rod system and the cable pretension of the screw-spacer system were systematically varied. Findings: The flexion of the screw-spacer system provided higher mobility to the transition segment, reducing adjacent-segment problems. The cable pretension had a minor effect on the construct behavior. However, due to limited joint mobility, the rod-rod system showed higher constraints to the transition segment and induced more adjacent-segment compensations. The increased mobility of the rod-rod joint caused it to behave as a more dynamic fixator that increased adjacent-segment compensations at the transition segment. Comparatively, increasing the joint mobility showed more significant effects on the construct behaviors than decreasing the joint stiffness. Furthermore, increased constraint by the rod-rod joint induced higher stress and risk of loosening at the bone-screw interfaces Interpretation: If the protection of the transition segment is the major concern, the rod-rod system can be used to constrain the intervertebral motion and share the higher loads through the fixator. Otherwise, the screw-spacer system is recommended in situations where higher loads onto the transition disc are allowable. © 2023 Elsevier Ltd

关键词： Screws

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Deep and shallow data science for multi-scale optical neuroscience

arXiv

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arXiv 2024年

作者： Mishne, Gal Charles, Adam Halıcıoğlu Data Science Institute Department of Electrical and Computer Engineering the Neurosciences Graduate Program UC San Diego 9500 Gilman Drive La Jolla CA92093 United States Department of Biomedical Engineering Kavli Neuroscience Discovery Institute Center for Imaging Science Department of Neuroscience Mathematical Institute for Data Science Johns Hopkins University BaltimoreMD21287 United States

Optical imaging of the brain has expanded dramatically in the past two decades. New optics, indicators, and experimental paradigms are now enabling in-vivo imaging from the synaptic to the cortex-wide scales. To match the resulting flood of data across scales, computational methods are continuously being developed to meet the need of extracting biologically relevant information. In this pursuit, challenges arise in some domains (e.g., SNR and resolution limits in micron-scale data) that require specialized algorithms. These algorithms can, for example, make use of state-of-the-art machine learning to maximally learn the details of a given scale to optimize the processing pipeline. In contrast, other methods, however, such as graph signal processing, seek to abstract away from some of the details that are scale-specific to provide solutions to specific sub-problems common across scales of neuroimaging. Here we discuss limitations and tradeoffs in algorithmic design with the goal of identifying how data quality and variability can hamper algorithm use and dissemination. © 2024, CC BY.

关键词： Neuroimaging

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High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Nu-Ri Park Min-Joong Kim Jongsu Lee Minah Seo Yong-Sang Ryu Myung-Ki Kim KU-KIST Graduate School of Converging Science and Technology Korea University Seoul Republic of Korea Sensor System Research Center Korea Institute of Science and Technology Seoul Republic of Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL USA School of Biomedical Engineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen (<3%... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Electric potential Accuracy Hydrogen Lasers and electrooptics Optical sensors Electro-optical waveguides

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multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer

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PeerJ Computer science 2023年 9卷

作者： Kim, Gihyeon Park, Young Mi Yoon, Hyun Jung Choi, Jang-Hwan Department of Computational Medicine Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Department of Molecular Medicine College of Medicine Ewha Womans University Seoul Korea Republic of Department of Radiology Veterans Health Service Medical Center Seoul Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Department of Artificial Intelligence Ewha Womans University Seoul Korea Republic of

Predicting recurrence in patients with non-small cell lung cancer (NSCLC) before treatment is vital for guiding personalized medicine. Deep learning techniques have revolutionized the application of cancer informatics, including lung cancer timeto-event prediction. Most existing convolutional neural network (CNN) models are based on a single two-dimensional (2D) computational tomography (CT) image or three-dimensional (3D) CT volume. However, studies have shown that using multiscale input and fusing multiple networks provide promising performance. This study proposes a deep learning-based ensemble network for recurrence prediction using a dataset of 530 patients with NSCLC. This network assembles 2DCNNmodels of various input slices, scales, and convolutional kernels, using a deep learning-based feature fusion model as an ensemble strategy. The proposed framework is uniquely designed to benefit from (i) multiple 2D in-plane slices to provide more information than a single central slice, (ii) multi-scale networks and multi-kernel networks to capture the local and peritumoral features, (iii) ensemble design to integrate features from various inputs and model architectures for final prediction. The ensemble of five 2D-CNN models, three slices, and two multi-kernel networks, using 5×5 and 6×6 convolutional kernels, achieved the best performance with an accuracy of 69.62%, area under the curve (AUC) of 72.5%, F1 score of 70.12%, and recall of 70.81%. Furthermore, the proposed method achieved competitive results compared with the 2D and 3D-CNN models for cancer outcome prediction in the benchmark studies. Our model is also a potential adjuvant treatment tool for identifying NSCLC patients with a high risk of recurrence. © 2023 Kim et al.

关键词： Neural network models

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Don't Tread on My Tidal Flats: Assessment of the Impacts of Human Trampling on the Behavior of an Endangered Crab for Tidal Flat Conservation

SSRN

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SSRN 2023年

作者： Park, Seojeong Kim, Minju Joo, Soobin Seo, Hyein Jo, Kyeongsik Lee, Yelim Kim, Tae Won Department of Ocean Sciences Inha University 100 Inha-ro Michuhol-gu Incheon Korea Republic of Program in Biomedical Science and Engineering Inha University 100 Inha-ro Michuhol-gu Incheon Korea Republic of

Coastal ecosystems, including tidal flats, are exposed to recreational activity-driven trampling. To assess the effect of trampling on the tidal flat ecosystem, it is pertinent to investigate changes in the activity of its dominant inhabitant. The fiddler crab, Austruca lactea, is abundant in some coastal areas, but is currently endangered owing to exposure to anthropogenic activities, including trampling. To assess the short-term behavioral responses of individual fiddler crabs to a single trampling and the long-term changes in the population under cumulative trampling, we conducted two types of field experiments for three semilunar tidal cycles during their reproductive period. First, we compared the behaviors of a pair of crabs, one of whose burrow openings had undergone a single trampling event. Results revealed that trampling delayed the initiation of surface activity, reduced travel distance, and altered the behaviors of the crabs from courting or feeding to vigilance and burrow repair. Second, we constantly exerted trampling on subsets of the crab population for two trampling periods (four and two weeks) and monitored the restoration of their collective behaviors for an additional two weeks. Daily trampling events decreased the degree of total surface activities and male courtship indicators, and the rhythms collapsed. After the cessation of trampling, only the courtship indicators recovered after longer trampling treatment. These results imply that continuous coastal visitation without any regulation might aggravate the decrease in the population of A. lactea and affect the tidal flat ecosystem function. Thus, we suggest the management of the habitat area of these crabs based on their behavioral changes caused by human trampling. Our study verified the substantial role of the behavioral ecology of benthic animals in monitoring the tidal flat ecosystem function and installing conservation area. © 2023, The Authors. All rights reserved.

关键词： Conservation

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Wireless,multimodal sensors for continuous measurement of pressure,temperature,and hydration of patients in wheelchair

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npj Flexible Electronics 2023年第1期7卷 479-493页

作者： Seokjoo Cho Hyeonseok Han Hyunwoo Park Sung-Uk Lee Jae-Hwan Kim Sung Woo Jeon Mengqiu Wang Raudel Avila Zhaoqian Xi Kabseok Ko Minsu Park Jungyup Lee Myungwoo Choi Je-Sang Lee Weon Gi Min Byeong-Ju Lee Soyeong Lee Jungrak Choi Jimin Gu Jaeho Park Min Seong Kim Junseong Ahn Osman Gul Chankyu Han Gihun Lee Seunghwan Kim Kyuyoung Kim Jeonghyun Kim Chang-Mo Kang Jahyun Koo Sung Soo Kwak Sungbong Kim Dong Yun Choi Seokwoo Jeon Hyung Jin Sung Yong Bae Park Minkyu Je Young Tae Cho Yong Suk Oh Inkyu Park Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Advanced 3D Printing Technology Development Division Korea Atomic Energy Research InstituteDaejeon 34057Republic of Korea Department of Electrical and Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsDalian University of TechnologyDalian 116023P.R.China Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA DUT-BSU Joint Institute Dalian University of TechnologyDalian 116023China Ningbo Institute of Dalian University of Technology Ningbo 315016China Department of Electronics Engineering Kangwon National UniversityChuncheon 24341Republic of Korea Querrey-Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Sibel Health Inc NilesIL 60714USA Department of Materials Science and Engineering KAIST Institute for The Nanocentury(KINC)Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Department of Rehabilitation Medicine Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of planning and development Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of rehabilitation medicine Pusan national university hospitalBusan 49241Republic of Korea Department of AI Convergence Network Ajou UniversitySuwon 16499Republic of Korea Department of Electronic Convergence Engineering Kwangwoon UniversitySeoul 01897Republic of Korea Korea Photonics Technology Institute Gwangju 61007Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02841Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02841Republic of Korea Center

Individuals who are unable to walk independently spend most of the day in a *** population is at high risk for developing pressure injuries caused by ***,early diagnosis and prevention of these injuries still remain ***,we introduce battery-free,wireless,multimodal sensors and a movable system for continuous measurement of pressure,temperature,and hydration at skin *** device design includes a crack-activated pressure sensor with nanoscale encapsulations for enhanced sensitivity,a temperature sensor for measuring skin temperature,and a galvanic skin response sensor for measuring skin hydration *** movable system enables power harvesting,and data communication to multiple wireless devices mounted at skin-cushion interfaces of wheelchair users over full body *** evaluations and numerical simulations of the devices,together with clinical trials for wheelchair patients,demonstrate the feasibility and stability of the sensor system for preventing pressure injuries caused by sitting.

关键词： injuries modal mounted

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