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phage display-derived alpaca nanobodies as potential therapeutics for Naja atra snake envenomation

Applied and Environmental Microbiology 2024年第8期90卷 1页

作者： Wang, Wei-Chu Chang, Jungshan Lee, Chi-Hsin Chiang, Yu-Wei Leu, Sy-Jye Mao, Yan-Chiao Chiang, Jen-Ron Yang, Chun-Kai Wu, Chao-Jung Yang, Yi-Yuan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei Taiwan International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan International Ph.D. Program for Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Core Laboratory of Antibody Generation and Research Taipei Medical University Taipei Taiwan Department of Medical Research Taipei Veterans General Hospital Taipei Taiwan Department of Biology and Anatomy National Defense Medical Center Taipei Taiwan Foundation for Poison Control Taipei Taiwan Department of Microbiology and Immunology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan School of Medicine National Defense Medical Centre Taipei Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan Division of Clinical Toxicology Department of Emergency Medicine Taichung Veterans General Hospital Taichung Taiwan Bioproduction Plants National Institute of Infectious Diseases and Vaccinology National Health Research Institutes Miaoli Taiwan Interdisciplinary Research on Ecology and Sustainability National Dong Hwa University Hualien Taiwan

Naja atra, the Chinese cobra, is a major cause of snake envenomation in Asia, causing hundreds of thousands of clinical incidents annually. The current treatment, horse serum-derived antivenom, has unpredictable side effects and presents manufacturing challenges. This study focused on developing new-generation snake venom antidotes by using microbial phage display technology to derive nanobodies from an alpaca immunized with attenuated N. atra venom. Following confirmation of the immune response in the alpaca, we amplified VHH genes from isolated peripheral blood mononuclear cells and constructed a phage display VHH library of 1.0 × 107 transformants. After four rounds of biopanning, the enriched phages exhibited increased binding activity to N. atra venom. Four nanobody clones with high binding affinities were selected: aNAH1, aNAH6, aNAH7, and aNAH9. Specificity testing against venom from various snake species, including two Southeast Asian cobra species, revealed nanobodies specific to the genus Naja. An in vivo mouse venom neutralization assay demonstrated that all nanobodies prolonged mouse survival and aNAH6 protected 66.6% of the mice from the lethal dosage. These findings highlight the potential of phage display-derived nanobodies as valuable antidotes for N. atra venom, laying the groundwork for future applications in snakebite treatment. Copyright © 2024 American Society for Microbiology. All Rights Reserved.

关键词： Mammals

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Ecological Risk Assessment and Corrective Actions of dioxins Polluted Sediment in the Brine Water Storage Pond of Chemical Plant

SSRN

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SSRN 2022年

作者： Huang, Wen-Yen Huang, Chi-Wei Lin, Chitsan Li, Yi-Lin Huang, Tsung-Po Bui, Xuan-Thanh Ngo, Huu Hao Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City700000 Viet Nam Linh Trung Ward Ho Chi Minh City700000 Viet Nam School of Civil and Environmental Engineering University of Technology Sydney SydneyNSW2007 Australia

despite the high toxicity of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCdd/Fs, or dioxins), the case studies about PCdd/Fs contamination in sediment are still few and its ecological impacts are not fully elucidated. To improve the risk management of PCdd/Fs pollution in sediment, the present study conducted the environmental risk assessment of the brine water storage pond near a chemical plant with high PCdd/Fs pollution potential before and after corrective actions. The results showed the PCdd/Fs accumulation in the fish and crab from the brine water storage pond, and the PCdd/Fs concentrations in biota were all higher than the food safety standard in Taiwan (3.5 pg-TEQ/g). Furthermore, the different indexes showed high degree of pollution including contamination factor (CF), modified degree of contamination (mCd), and pollution index (PI) in the PCdd/Fs polluted sediment. High biological risk indexes such as potential ecological risk index (RI) and risk quotient (RQ) were also observed in the PCdd/Fs contaminated sediment before the corrective actions. After the corrective actions such as institutional/engineering control and remediation, the CF, mCd, and PI decreased by 20–41%. The RI and RQ were also decreased by 41–56%. In conclusion, the corrective actions applied in the present study could help decrease the pollution and ecological risk of PCdd/Fs in the polluted sediment of the study site, which might further decrease the environmental risk to an acceptable level for the stakeholders if keeping implementation of the corrective actions. © 2022, The Authors. All rights reserved.

关键词： Risk management

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Application of vetiver grass (Vetiveria Zizanioides L.) for organic matter removal from contaminated surface water

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Bioresource technology Reports 2023年 22卷

作者： Nguyen, Minh Ky Hung, Nguyen Tri Quang Nguyen, Cong Manh Lin, Chitsan Nguyen, Tuan Anh Nguyen, Hoang-Lam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Faculty of Environment and Natural Resources Nong Lam University Hamlet 6 Linh Trung Ward Thu Duc Dist. Ho Chi Minh City700000 Viet Nam Research Institute for Biotechnology and Environment Nong Lam University Hamlet 6 Linh Trung Ward Thu Duc Dist. Ho Chi Minh City700000 Viet Nam Department of Civil Engineering McGill University Montreal Canada

This study presents the vertical flow constructed wetlands (VFCWs) as a green solution for organic matter removal in contaminated surface water – a case study in Vietnam. The experiments were conducted with hydraulic loading rates (HLRs) of 500 mL/m2/min (T1), 1000 mL/m2/min (T2), and 1500 mL/m2/min (T3) using Vetiver grass (V) and Control (C). The findings indicated that Vetiver grass (Vetiveria Zizanioides L.) based-VFCWs model achieves a removal efficiency of 90 % for biochemical oxygen demand (BOd5) and >80 % for chemical oxygen demand (COd). This could explain the significant contribution of aquatic plants to the VFCWs based on vertical flow characteristics. Analysis of variance showed that HLRs significantly influence the treatment efficiency of BOd5 and COd (P © 2023 Elsevier Ltd

关键词： Irrigation

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deep learning for remote sensing image classification for agriculture applications

Deep learning for remote sensing image classification for ag...

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American Society for photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference

作者： Hashemi-Beni, Leila Gebrehiwot, Asmamaw Geomatics Program Department of Built Environment North Carolina A&T State University United States Applied Science and Technology Ph.D. Program Department of Built Environment North Carolina A&T State University United States

This research examines the ability of deep learning methods for remote sensing image classification for agriculture applications. U-net and convolutional neural networks are fine-tuned, utilized and tested for crop/weed classification. The dataset for this study includes 60 top-down images of an organic carrots field, which was collected by an autonomous vehicle and labeled by experts. FCN-8s model achieved 75.1% accuracy on detecting weeds compared to 66.72% of U-net using 60 training images. However, the U-net model performed better on detecting crops which is 60.48% compared to 47.86% of FCN-8s. © 2020 International Society for photogrammetry and Remote Sensing. All rights reserved.

关键词： Crops

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Exploration of anti-leukemic effect of soft coral-derived 13-acetoxysarcocrassolide: Induction of apoptosis via oxidative stress as a potent inhibitor of heat shock protein 90 and topoisomerase II

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Kaohsiung Journal of Medical sciences 2023年第7期39卷 718-731页

作者： Chin, Hsien-Kuo Lu, Mei-Chin Hsu, Kai-Cheng El-Shazly, Mohamed Tsai, Tsen-Ni Lin, Tzu-Yung Shih, Shou-Ping Lin, Tony Eight Wen, Zhi-Hong Yang, Yu-Chen S. H. Liu, Yi-Chang Department of Marine Biotechnology and Resources National Sun Yat-Sen University Kaohsiung Taiwan Division of Cardiovascular Surgery Department of Surgery Kaohsiung Armed Forces General Hospital Kaohsiung Taiwan Graduate Institute of Marine Biology National Dong Hwa University Hualien Taiwan National Museum of Marine Biology and Aquarium Pingtung Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Master Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan TMU Research Center of Drug Discovery Taipei Medical University Taipei Taiwan Department of Pharmacognosy Faculty of Pharmacy Ain-Shams University Cairo Egypt Division of Hematology-Oncology Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan Department and Graduate Institute of Aquaculture National Kaohsiung University of Science and Technology Kaohsiung Taiwan Doctoral Degree Program in Marine Biotechnology National Sun Yat-Sen University Kaohsiung Taiwan Doctoral Degree Program in Marine Biotechnology Academia Sinica Taipei Taiwan Joint Biobank Office of Human Research Taipei Medical University Taipei Taiwan Department of Internal Medicine Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Cellular Therapy and Research Center Kaohsiung Medical University Hospital Kaohsiung Taiwan

13-Acetoxysarcocrassolide (13-AC) is a marine cembranoid derived from the aquaculture soft coral of Lobophytum crassum. The cytotoxic effect of 13-AC against leukemia cells was previously reported but its mechanism of action is still unexplored. In the current study, we showed that 13-AC induced apoptosis of human acute lymphoblastic leukemia Molt4 cells, as evidenced by the cleavage of PARP and caspases, phosphatidylserine externalization, as well as the disruption of mitochondrial membrane potential. The use of N-acetylcysteine (NAC), a reactive oxygen species (ROS) scavenger, attenuated the cytotoxic effect induced by 13-AC. Molecular docking and thermal shift assay indicated that the cytotoxic mechanism of action of 13-AC involved the inhibition of heat shock protein 90 (Hsp 90) activity by eliciting the level of Hsp 70 and topoisomerase IIα in Molt4 cells. 13-AC also exhibited potent antitumor activity by reducing the tumor volume (48.3%) and weight (72.5%) in the in vivo Molt4 xenograft mice model. Our findings suggested that the marine cembranoid, 13-AC, acted as a dual inhibitor of Hsp 90 and topoisomerase IIα, exerting more potent apoptotic activity via the enhancement of ROS generation. © 2023 The Authors. The Kaohsiung Journal of Medical sciences published by John Wiley & Sons Australia, Ltd on behalf of Kaohsiung Medical University.

关键词： 13-Acetoxysarcocrassolide heat shock protein 90 leukemia oxidative stress topoisomerase II

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CoAl2O4 nanoparticles modified carbon nanofibers as high-efficiency bifunctional electrocatalyst: An efficient electrochemical aqueous asymmetric supercapacitors and non-enzymatic electrochemical sensors

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Journal of Alloys and Compounds 2023年 931卷 1页

作者： Chinnapaiyan, Sathishkumar das, Himadri Tanaya Chen, Shen-Ming Govindasamy, Mani Alshgari, Razan A. Fan, Chi-Hsuan Huang, Chi-Hsien Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan Centre for Advanced Materials and Applications Utkal University Vani vihar Odisha Bhubaneswar751004 India Department of Materials Engineering Ming Chi University of Technology New Taipei City243303 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Chemistry Department College of Science King Saud University Riyadh11451 Saudi Arabia Korea University of Technology and Education Chungcheongnam-do Cheonan-si31253 Korea Republic of Division of Rheumatology Allergy and Immunology Chang Gung Memorial Hospital Taoyuan33378 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan

The thriving energy demand of the gradually increasing population and modernized life style requires development in energy storage devices for usage in commercial electronic devices. In this particular work, we have explored electrochemical performances of bimetallic oxide CoAl2O4 and tuned its performance by decorating it on the carbon nanofibers. The CoAl2O4/CNFs are synthesized by deep eutectic solvents based hydrothermal method. The synthesized CoAl2O4 nanoparticle was found electrochemically active and the incorporation of CNFs end up boosting, its electrochemical performances as battery-type electrode. The obtained nanocomposites were characterized by various techniques. The electrochemically active CoAl2O4/CNFs exhibited 2.2-fold higher charge storage capacity than CoAl2O4. The CoAl2O4/CNFs exhibited specific capacity as high as 132 C/g at a constant applied current density of 1 A/g in 1 M KOH. The asymmetric device fabricated with CoAl2O4/CNFs electrodes exhibited excellent energy density of 20 Wh/kg at power density of 3000 W/kg. The CoAl2O4/CNFs electrode long-term stability has been minutely observed;the high Coulombic efficiency of 90% and high rate of capacity retention 95 %. In this work, an enzyme-free electrochemical sensor based on CoAl2O4/CNFs composite was developed for the detection of luteolin (LUT). Further modification of CoAl2O4/CNFs composite can improve the high surface area and catalytic capability of the composites. Under the optimal detection conditions, the prepared sensor has good linearity in the detection of LUT within range 30 nM − 73.5 μM with a limit of detection (LOd) of 0.0124 μM (12.4 nM). The stability and selectivity of the sensor is high, and can be used to detect LUT in various real samples. © 2022 Elsevier B.V.

关键词： Electrochemical sensors

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The role of input imaging combination and AdC threshold on segmentation of acute ischemic stroke lesion using U-Net

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European Radiology 2023年第9期33卷 6157-6167页

作者： Li, Ya-Hui Lin, Shao-Chieh Chung, Hsiao-Wen Chang, Chia-Ching Peng, Hsu-Hsia Huang, Teng-Yi Shen, Wu-Chung Tsai, Chon-Haw Lo, Yu-Chien Lee, Tung-Yang Juan, Cheng-Hsuan Juan, Cheng-En Chang, Hing-Chiu Liu, Yi-Jui Juan, Chun-Jung Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital No. 199 Sec. 1 Xinglong Rd. Zhubei City Hsinchu County 302 Hsinchu Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Management Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Radiology School of Medicine College of Medicine China Medical University Taichung Taiwan Department of Medical Imaging Medical University Hospital Taichung Taiwan Department of Neurology China Medical University Hospital Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University No. 100 Wenhwa Rd. Seatwen Taichung 40724 Taiwan Department of Biomedical Engineering The Chinese University of Hong Kong ERB1112 11/F William M.W. Mong Engineering Building N.T Shatin Hong Kong Multi-Scale Medical Robotics Center The Chinese University of Hong Kong N.T Shatin Hong Kong Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan

Background: To evaluate the effect of the weighting of input imaging combo and AdC threshold on the performance of the U-Net and to find an optimized input imaging combo and AdC threshold in segmenting acute ischemic stroke (AIS) lesion. Methods: This study retrospectively enrolled a total of 212 patients having AIS. Four combos, including AdC-AdC-AdC (AAA), dWI-AdC-AdC (dAA), dWI-dWI-AdC (ddA), and dWI-dWI-dWI (ddd), were used as input images, respectively. Three AdC thresholds including 0.6, 0.8 and 1.8 × 10^–3 mm²/s were applied. dice similarity coefficient (dSC) was used to evaluate the segmentation performance of U-Nets. Nonparametric Kruskal–Wallis test with Tukey–Kramer post-hoc tests were used for comparison. A p <.05 was considered statistically significant. Results: The dSC significantly varied among different combos of images and different AdC thresholds. Hybrid U-Nets outperformed uniform U-Nets at AdC thresholds of 0.6 × 10^–3 mm²/s and 0.8 × 10^–3 mm²/s (p <.001). The U-Net with imaging combo of ddd had segmentation performance similar to hybrid U-Nets at an AdC threshold of 1.8 × 10^–3 mm²/s (p =.062 to 1). The U-Net using the imaging combo of dAA at the AdC threshold of 0.6 × 10^–3 mm²/s achieved the highest dSC in the segmentation of AIS lesion. Conclusions: The segmentation performance of U-Net for AIS varies among the input imaging combos and AdC thresholds. The U-Net is optimized by choosing the imaging combo of dAA at an AdC threshold of 0.6 × 10^–3 mm²/s in segmentating AIS lesion with highest dSC. Key Points: • Segmentation performance of U-Net for AIS differs among input imaging combos. • Segmentation performance of U-Net for AIS differs among AdC thresholds. • U-Net is optimized using dAA with AdC = 0.6 × 10^–3mm²/s. © 2023, The Author(s), under exclusive licence to European Society of Radiology.

关键词： deep Learning diffusion Magnetic Resonance Imaging Ischemic Stroke Neural Networks, Computer Retrospective Study

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Intelligent films of marine polysaccharides and purple cauliflower extract for food packaging and spoilage monitoring

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Carbohydrate Polymers 2023年 299卷

作者： Huang, Han-Lun Tsai, I-Lin Lin, Chi Hang, Yu-Hao Ho, Yi-Cheng Tsai, Min-Lang Mi, Fwu-Long Department of Food Science National Taiwan Ocean University Keelung20224 Taiwan Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Bioagricultural Science National Chiayi University Chiayi60004 Taiwan Ph.D. Program of Agriculture Science National Chiayi University Chiayi60004 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan

In this study, metalloanthocyanin-inspired, biodegradable packaging films were developed by incorporating purple cauliflower extracted (PCE) anthocyanins into alginate (AL)/carboxymethyl chitosan (CCS) hybrid polymer matrices based on complexation of metal ions with these marine polysaccharides and anthocyanins. PCE anthocyanins-incorporated AL/CCS films were further modified with fucoidan (Fd) because this sulfated polysaccharide can form strong interactions with anthocyanins. Metals-involved complexation (Ca2+ and Zn2+-crosslinked films) improved the mechanical strength and water vapor permeability but reduced the swelling degree of the films. Zn2+-cross-linked films exhibited significantly higher antibacterial activity than did pristine (non-crosslinked) and Ca2+-cross-linked films. The metal ion/polysaccharide-involved complexation with anthocyanin reduced the release rate of anthocyanins, increased the storage stability and antioxidant capability, and improved the sensitivity of the colorimetric response of the indicator films for monitoring the freshness of shrimp. The anthocyanin-metal-polysaccharide complex film showed great potential as active and intelligent packaging of food products. © 2022 Elsevier Ltd

关键词： Metal ions

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Optically Tunable Many-Body Exciton-phonon Quantum Interference

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Advanced science 2024年第40期11卷 e2404741页

作者： Chang, Si-Jie Huang, Po-Chun Su, Jia-Sian Hsieh, Yu-Wei Quiroz Reyes, Carlos Jose Fan, Ting-Hsuan Sun, Han-Sheng Nguyem, Ai-phuong Liu, Te-I Cheng, Ho-Wen Lin, Ching-Wei Hayashi, Michitoshi Yong, Chaw-Keong Department of Physics National Taiwan University Taipei10617 Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei106319 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei235603 Taiwan Department of Chemistry National Tsing Hua University Hsinchu300044 Taiwan International Graduate Program of Molecular Science and Technology National Taiwan University Taipei106319 Taiwan Center for Condensed Matter Sciences National Taiwan University Taipei10617 Taiwan Center of Atomic Initiative for New Materials National Taiwan University Taipei10617 Taiwan National Center for Theoretical Sciences Taipei10617 Taiwan

This study introduces a novel paradigm for achieving widely tunable many-body Fano quantum interference in low-dimensional semiconducting nanostructures, beyond the conventional requirement of closely matched energy levels between discrete and continuum states observed in atomic Fano systems. Leveraging Floquet engineering, the remarkable tunability of Fano lineshapes is demonstrated, even when the original discrete and continuum states are separated by over 1 eV. Specifically, by controlling the quantum pathways of discrete phonon Raman scattering using femtosecond laser pulses, the Raman intermediate states across the excitonic Floquet band are tuned. This manipulation yields continuous transitions of Fano lineshapes from antiresonance to dispersive and to symmetric Lorentzian profiles, accompanied by significant variations in Fano parameter q and Raman intensity spanning 2 orders of magnitude. A subtle shift in the excitonic Floquet resonance is further shown, achieved by controlling the intensity of the femtosecond laser, which profoundly modifies quantum interference strength from destructive to constructive interference. The study reveals the crucial roles of Floquet engineering in coherent light-matter interactions and opens up new avenues for coherent control of Fano quantum interference over a broad energy spectrum in low-dimensional semiconducting nanostructures. © 2024 The Author(s). Advanced science published by Wiley-VCH GmbH.

关键词： Femtosecond lasers

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CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-dimensional Neuroimaging data

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline fo...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Henry Lee Cheng-Yu Chen Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Translational Imaging Research Center Taipei Medical University Hospital Taipei Taiwan Research Center for Neuroscience Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan National Center for High-Performance Computing NARlabs Hsinchu Taiwan Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Department of Medical Imaging Taipei Medical University Hospital Taipei Taiwan Department of Radiology National Defense Medical Center Taipei Taiwan Department of Radiology School of Medicine College of Medicine Taipei Taiwan

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline specifically developed to address the computational challenges associated with high-dimensional multi-class neuroimaging data analysis. Standard neuroimaging datasets, such as large-scale MRI data from the Alzheimer’s disease Neuroimaging Initiative and Neuroimaging in Frontotemporal dementia, present significant hurdles due to their vast size and complexity. CompressedMediQ integrates classical HPC nodes for advanced MRI pre-processing and Convolutional Neural Network (CNN)-PCA-based feature extraction and reduction, addressing the limited-qubit availability for quantum data encoding in the NISQ era. This is followed by Quantum Support Vector Machine (QSVM) classification. By utilizing quantum kernel methods, the pipeline optimizes feature mapping and classification, enhancing data separability and outperforming traditional neuroimaging analysis techniques. Experimental results highlight the pipeline’s superior accuracy in dementia staging, validating the practical use of quantum machine learning in clinical diagnostics. despite the limitations of NISQ devices, this proof-of-concept demonstrates the transformative potential of quantum-enhanced learning, paving the way for scalable and precise diagnostic tools in healthcare and signal processing.

关键词： Neuroimaging Support vector machines Quantum computing Accuracy Magnetic resonance imaging Pipelines Machine learning Medical services Signal processing Standards

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