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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chengchen Zhang Fei Deng Yi Li Tim Hall Ewa Goldys UNSW Graduate School of Biomedical Engineering Sydney Australia

Neurofilament light chain (NF-L) is a protein found in neurons of the nervous system and is widely used as a biomarker for neurological disorders. However, the current methods for detecting NF-L levels are complicated, expensive, and require specialized equipment, making it challenging to implement in a point-of-care (POC) setting. In this study, we developed a gold nanoshell (AuNS)-assisted lateral flow assay (LFA) based test strip for the POC detection of NF-L at a low ng/mL level (8 ng/mL = 117.65 pM). The test strip is a simple, rapid, and cost-effective method for detecting NF-L, making it suitable for use in a POC setting for the diagnosis and treatment of various neurological disorders. With its ease of use and reliability, the paper-based LFA is a valuable tool for the diagnosis and management of neurological *** Relevance— The AuNS-assisted LFA test strip developed in this study offers a rapid, cost-effective, and simple method for detecting NF-L levels, making it of great interest to practicing clinicians for the diagnosis of various neurological diseases such as HIV-associated dementia (HID), Amyotrophic Lateral Sclerosis (ALS), and Creutzfeldt-Jakob disease (CJD).

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Singular spectrum analysis – an automatic detection technique for mean scatterer spacing estimation using ultrasound signals

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Research on biomedical engineering 2025年第2期41卷 1-16页

作者： Kauati, Adriana Cortela, Guillermo de Campos, Marcello L. R. Pereira, Wagner C. A. Programa de Pós-graduação em Engenharia Elétrica e Computação – CECE/UNIOESTE PR Foz do Iguaçu85870 650 Brazil Laboratorio de Acústica Ultrasónora – FCien/UdelaR Montevideo Uruguay Electrical Engineering Program – COPPE/UFRJ RJ Rio de Janeiro21941 - 914 Brazil Biomedical Engineering Program – COPPE/UFRJ RJ Rio de Janeiro21941 - 914 Brazil

Purpose: The article proposes an automated method for estimating mean scatterer spacing (MSS) in biological tissues using ultrasound signals. It employs singular spectrum analysis (SSA) with a novel entropy-based criterion to enhance accuracy and eliminate the need for manual parameter tuning. The method is validated using both simulated and real signals, demonstrating its effectiveness in detecting microstructural changes in tissues. Methods: The proposed SSA + entropy method estimates the MSS from ultrasound signals using SSA combined with a relative entropy-based criterion. This approach determines the optimal number of eigenvector pairs to reconstruct the periodic part of the signal by identifying the minimum in the entropy curve—a point that corresponds to the number of underlying periodic components, even in noisy conditions. For experimental validation, ex vivo bovine skeletal muscle was analyzed. RF data were collected at a controlled temperature of using a 3.5-MHz transducer. The MSS results obtained via SSA were also independently verified using microscopy and image analysis of muscle fiber spacing, confirming the effectiveness of the entropy-based SSA approach. Results: The MSS estimation method's accuracy decreases as jitter or Ad noise levels increase, with the method performing well when the estimated MSS is within 10% of the true value. Additionally, the standard deviation of MSS estimates increases as Ad levels and jitter values rise. In phantom experiments, MSS was measured using different transducer frequencies with varying results at each frequency. When applied to ex vivo bovine skeletal muscle tissue, the MSS estimation was validated using both RF and imaging methods, with three consistent groups of MSS values observed, confirming the method's applicability and reliability. Conclusion: The proposed method combines SSA and entropy to automatically estimate medium periodicity in ultrasound, eliminating the need for operator intervention. It succes

关键词： Image analysis

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Integrated RPA-CRISPR/Cas12a system towards Point-of-Care H. pylori detection

Integrated RPA-CRISPR/Cas12a system towards Point-of-Care H....

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Yi Li Fei Deng Chengchen Zhang Xiaofen Lin Ewa Goldys UNSW Graduate School of Biomedical Engineering Sydney Australia

The rapidly advanced CRISPR/Cas biosensing technology provides unprecedent potential for the development of novel biosensing systems. It provides a new approach for realizing rapid, sensitivity and highly specific pathogen nucleic acid detection, with the capability to combine other technologies, including Polymerase Chain Reaction or isothermal amplifications. The detection of Helicobacter pylori (H. pylori), one of the most common human pathogens to cause various gastroduodenal diseases, has also been explored with the assistance of CRISPR/Cas systems. However, gaps still remain for the development of end-user friendly sensing *** this study, a combined RPA-CRISPR/Cas12a biosensing system has been established. It shown the capability to quantitively detect the presence of H. pylori genome DNA with 4 orders of magnitude linear range, and sensitivity of 1.4 copies/µL. The overall reaction can be done within 45 mins at room temperature, which eliminates the needs for heating instrumentation. In addition, with the addition of pullulan as a protective reagent, the potential of storing CRISPR/Cas12a system reagents by using a freeze-dry approach has also been *** Relevance — This study represents a novel exploration to applying CRISPR/Cas12a-based biosensing technology to the detection of pathogen DNA with improved potential for the development of Point-of-Care diagnostics. This critical aspect of our technology will contribute to address the newly emerged pathogenic threats and support public health systems.

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3D bioprinting-a model for skin aging

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Regenerative Biomaterials 2023年第1期10卷 1212-1221页

作者： Ryeim B.Ansaf Rachel Ziebart Hemanth Gudapati Rafaela Mayumi Simoes Torigoe Stella Victorelli Joao Passos Saranya P.Wyles Department of Biology Colorado State University PuebloPuebloCO 81001USA Mayo Clinic Alix School of Medicine RochesterMN 55905USA Mayo Clinic Department of Dermatology RochesterMN 55905USA Mayo Clinic Graduate School of Biomedical Sciences RochesterMN 55905USA Mayo Clinic Department of Physiology and Biomedical Engineering RochesterMN 55905USA Mayo Clinic Robert and Arlene Kogod Center on Aging RochesterMN 55905USA

Human lifespan continues to extend as an unprecedented number of people reach their seventh and eighth decades of life,unveiling chronic conditions that affect the older ***-related skin conditions include senile purpura,seborrheic keratoses,pemphigus vulgaris,bullous pemphigoid,diabetic foot wounds and skin *** methods of drug testing prior to clinical trials require the use of pre-clinical animal models,which are often unable to adequately replicate human skin ***,a reliable model for aged human skin is *** current challenges in developing an aged human skin model include the intrinsic variability in skin architecture from person to *** ideal skin model would incorporate innate functionality such as sensation,vascularization and *** advent of 3D bioprinting allows us to create human skin equivalent for use as clinical-grade surgical graft,for drug testing and other *** this review,we describe the process of human skin aging and outline the steps to create an aged skin model with 3D bioprinting using skin cells(***,fibroblasts and melanocytes).We also provide an overview of current bioprinted skin models,associated limitations and direction for future research.

关键词： 3D bioprinting skin aging bioink regeneration

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Effect of stenotic lesion length on the acoustic characteristics of shunt murmurs in hemodialysis patients

Transactions of Japanese Society for Medical and Biological ...

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Transactions of Japanese Society for Medical and Biological engineering 2021年第Proc期Annual59卷 692-693页

作者： Shin’e, Yoshimasa Oku, Tomoko Yamauchi, Shinobu Motohashi, Yuka Sato, Toshio Graduate School of Engineering Toin University of Yokohama Japan Department of Clinical Engineering Faculty of Biomedical Engineering Toin University of Yokohama Japan

We have proposed a method of time-frequency analysis of shunt murmurs to assess vascular access (VA) function in terms of the normalized correlation coefficient R, representing temporal variation in the frequency domain, and the normalized duration time NDT, representing temporal variation in the time domain. We previously sampled the simulated shunt murmur with a VA model of an arteriovenous anastomosis region and verified the changes in R and NDT relative to the vascular stenosis rate. In the present study, we investigated the effect of stenotic lesions on the acoustic characteristics of the shunt murmur by measuring simulated shunt murmurs with changes in stenotic rate and analyzing the measurement results. Furthermore, the vascular resistance index RI was measured from the VA model using an ultrasonic diagnostic device, and changes in R and RI were investigated according to changes in the stenosis rate. © 2021, Japan Soc. of Med. Electronics and Biol. engineering. All rights reserved.

关键词： Nondestructive examination

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Photobiomodulation of A549 Lung Cancer & MRC5 Healthy Lung Cell Lines via 660nm and 808nm Laser Irradiations

Photobiomodulation of A549 Lung Cancer & MRC5 Healthy Lung C...

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2023 Medical Technologies Congress, TIPTEKNO 2023

作者： Solmaz, Hakan Khalid, Mais Bahçeşehir University Department of Biomedical Engineering Istanbul34353 Turkey Bahçeşehir University Graduate School of Bioengineering Istanbul34353 Turkey

ISBN: (纸本)9798350328967

Cancer-related deaths are at the top of the list in developed countries. Research on cancer treatment continues without slowing down. The interaction of light with biological samples is also under the scope of many research studies. Numerous studies have been conducted in the field of the use of laser applications in cancer treatment. The main purpose of this particular study was to investigate the laser photobiomodulation (PBM) effect of visible red (660nm) and near-infrared (808nm) laser irradiation at 2 and 8 J/cm2 of energy densities on the viability of human lung cancer cell lines (A549) and human healthy lung cell line (MRC5). The preliminary data obtained from MTT assay results have shown that laser PBM of 660nm laser irradiation at 2 J/cm2 energy density might have stimulated the viability of the healthy human lung cell line (MRC5) significantly more than the cancer cell line (A549). The results might show promising potential for future studies on using laser PBM in cancer treatment to stimulate the viability of healthy cells and inhibit the proliferation of cancer cells. © 2023 IEEE.

关键词： Diseases

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Analysis of Gait Data Based on Deep Learning to Predict Multiple Balance Scale Scores

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IEEE Sensors Journal 2024年第1期24卷 920-930页

作者： Lin, Chueh-Ho Peng, Chih-Wei Lee, I-Jung Wu, Chi-Ming Lin, Bor-Shing Taipei Medical University International Ph.D. Program in Gerontology and Long-Term Care Taipei City110 Taiwan Taipei Medical University Research Center in Nursing Clinical Practice Wan Fang Hospital Taipei City110 Taiwan Taipei Medical University School of Biomedical Engineering College of Biomedical Engineering Taipei City110 Taiwan Taipei Medical University School of Gerontology and Long-Term Care College of Nursing Taipei City110 Taiwan National Taipei University Department of Computer Science and Information Engineering New Taipei City237 Taiwan National Taipei University College of Electrical Engineering and Computer Science New Taipei City237 Taiwan

Unbalanced walking is increasingly common among older adults;therefore, routinely assessing the balance of older adults is crucial. The traditional method of assessing balance uses scales, requires the supervision of a physical therapist (PT), and is time-consuming. The present study, therefore, proposes a deep learning (DL) model architecture that combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network model to predict the scores of three scales, namely the Berg balance scale (BBS), timed up and go (TUG), and single-leg stance (SLS). The gait data of 15 m of walking were collected from seven inertial measurement units (IMUs) and input into the CNN-LSTM model for evaluation. The BBS and TUG only require the participants to wear two IMUs on the left and right thighs, respectively, for accurate predictions. The mean absolute errors (MAEs) of predicting the scores of the BBS and TUG are 1.2562 and 1.4016 s, respectively;however, the MAE of score predictions of SLS is higher than that of the BBS and TUG, indicating that gait data cannot be used for assessing SLS;moreover, participants only wear one IMU on the right calf for BBS and TUG evaluations, which yield MAEs of 1.4334 and 1.5229 s, respectively. The proposed system can quickly and accurately predict the scores of the BBS and TUG. The proposed model can assist PTs with making clinical decisions. © 2001-2012 IEEE.

关键词： Long short-term memory

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Picrasidine I Regulates Apoptosis in Melanoma Cell Lines by Activating ERK and JNK Pathways and Suppressing AKT Signaling

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Environmental Toxicology 2024年第12期39卷 5309-5320页

作者： Shieu, Mu-Kuei Lin, Chia-Chieh Ho, Hsin-Yu Lo, Yu-Sheng Chuang, Yi-Ching Hsieh, Ming-Ju Department of Dermatology Changhua Christian Hospital Changhua Taiwan Oral Cancer Research Center Changhua Christian Hospital Changhua Taiwan Graduate Institute of Clinical Medicine College of Medicine National Chung Hsing University Taichung Taiwan Doctoral Program in Tissue Engineering and Regenerative Medicine College of Medicine National Chung Hsing University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan

World Health Organization data indicate a continuous increase in melanoma incidence, with metastatic melanoma characterized by poor prognosis and drug resistance. The exploration of therapeutics derived from natural products remains an active area of in vitro research. The aim of this study was to determine the antitumor effects of picrasidine I, a natural compound extracted from Picrasma quassioides, against two melanoma cell lines. We selected two metastatic melanoma cell lines, HMY-1 and A2058, for molecular studies, including Western blotting, 4′,6-diamidino-2-phenylindole staining, and flow cytometry. Picrasidine I demonstrated cytotoxic effects against the HMY-1 and A2058 melanoma cell lines. It induced cell cycle arrest in the sub-G1 phase and downregulated cell cycle–related proteins (e.g., cyclin A2, D1, cyclin-dependent kinases 4, and 6). In the intrinsic apoptosis pathway, picrasidine I activated proapoptotic proteins (e.g., Bax, Bak, t-Bid, BimL/S) and suppressed the expression of antiapoptotic proteins (e.g., Bcl-2, Bcl-xL), with an observed increase in the quantity of depolarized cells. In addition, the apoptotic effects of picrasidine I were linked to the activation of the c-Jun N-terminal kinase and extracellular signal-regulated kinase pathways and the inhibition of the protein kinase B signaling pathway. A human apoptosis array indicated claspin inhibition upon picrasidine I treatment, suggesting the potential involvement of picrasidine I in apoptosis and cell cycle regulation. Our findings suggest that picrasidine I has potential as a candidate for treating advanced melanoma, and thus these findings warrant further investigation. The modulation of claspin expression by picrasidine I could be investigated further as a potential biomarker to predict its efficacy in related to advanced stages of melanoma. © 2024 The Author(s). Environmental Toxicology published by Wiley Periodicals LLC.

关键词： Dermatology

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Long-Chain Gemini Surfactant-Assisted Blade Coating Enables Large-Area Carbon-Based Perovskite Solar Modules with Record Performance

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Nano-Micro Letters 2023年第10期15卷 463-477页

作者： Yumin Ren Kai Zhang Zedong Lin Xiaozhen Wei Man Xu Xianzhen Huang Haining Chen Shihe Yang Guangdong Provincial Key Lab of Nano‑Micro Material Research School of Chemical Biology and BiotechnologyShenzhen Graduate SchoolPeking UniversityShenzhen 518055People’s Republic of China Shenzhen Bay Laboratory Institute of Biomedical EngineeringShenzhen 518107GuangdongPeople’s Republic of China School of Materials Science and Engineering Beihang UniversityBeijing 100191People’s Republic of China

Carbon-based perovskite solar cells show great potential owing to their low-cost production and superior stability in ambient ***,scaling up to high-efficiency carbon-based solar modules hinges on reliable deposition of uniform defect-free perovskite films over large areas,which is an unsettled but urgent *** this work,a long-chain gemini surfactant is introduced into perovskite precursor ink to enforce self-assembly into a network structure,considerably enhancing the coverage and smoothness of the perovskite *** long gemini surfactant plays a distinctively synergistic role in perovskite film construction,crystallization kinetics modulation and defect passivation,leading to a certified record power conversion efficiency of 15.46%with Voc of 1.13 V and Jsc of 22.92 mA cm^(-2)for this type of ***,all of the functional layers of the module are printed through a simple and high-speed(300 cm min^(-1))blade coating strategy in ambient *** results mark a significant step toward the commercialization of all-printable carbon-based perovskite solar modules.

关键词： Long-chain gemini surfactant Blade-coating Capillary number Carbon-based perovskite photovoltaics All-printable module

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A Proposal for Complementary Use of Readiness Potential and NIRS in BMI Development: An Attempt of Assessment Using Hybrid 1DCNN-BiLSTM 25th

A Proposal for Complementary Use of Readiness Potential and ...

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25th International Conference on Human-Computer Interaction, HCII 2023

作者： Leelasiri, Puwadej Aki, Fumitaka Kimura, Tatsuhiro Ohshima, Hiroshi Yamazaki, Kiyoyuki Department of Biomedical Engineering Graduate School of Engineering Tokai University Tokyo Japan Department of Biomedical Engineering School of Engineering Tokai University Tokyo Japan Department of Human Information Engineering School of Humanities and Science Tokyo Japan

ISBN: (纸本)9783031492112

The purpose of this study is to develop a novel Brain Machine Interface (BMI) algorithm using near-infrared spectroscopy (NIRS) to supplement data on readiness potential (RP) obtained from electroencephalography (EEG) in order to recognize human motions. Congenital and acquired disabilities make it impossible to live comfortably as an able-bodied person. BMI assists people with disabilities in moving prosthetics, computer operations, etc. Our recent research has shown that the hybrid 1DCNN-BiLSTM algorithm, which combines two deep learning algorithms, can more correctly identify between left- and right-handed motions than EEG when total hemoglobin is monitored by NIRS. This is due to the fact that brain waves come in a variety of unique waveforms, such as RP. EEG has a weakness of external and internal noise. NIRS, on the other hand, is more noise-resistant than EEG, despite it lacking the precise indicators of activity readiness that EEG does. In this study, NIRS signals were combined into EEG signals to support EEG in distinguishing left-right hand movements. The EEG-NIRS and EEG dataset were passed hybrid 1DCNN-BiLSTM to discriminate accuracy separately to compare the accuracy and the SD. As a result, EEG-NIRS can more distinguish between left- and right-hand movements than using only-EEG signals. Considering the result, the combination of EEG and NIRS signal is possible to support BMI based on EEG to distinguish the left- and right-hand movement. It may be possible to determine the non-movement and movement signals using RP that appears on EEG. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Electroencephalography

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