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17th International Conference on Developments in eSystems engineering, DeSE 2024

作者： Mustapha, Mubarak Taiwo Onakpojeruo, Efe Precious David, Leena R. Uzun, Berna Hussain, Abir Jaafar Ozsahin, Dilber Uzun Operational Research Center in Healthcare Department of Biomedical Engineering Near East University Nicosia Cyprus Department of Biomedical Engineering Near East University Nicosia Cyprus Department of Medical Diagnostic Imaging College of Health Sciences University of Sharjah United Arab Emirates Department of Medical Imaging Technology Manipal College of Health Professions Manipal Academy of Higher Education Karnataka Manipal India Department of Electrical Engineering University of Sharjah Sharjah United Arab Emirates Research Institute for Medical and Health Sciences University of Sharjah Sharjah United Arab Emirates Operational Research Centre in Healthcare Near East University Nicosia Cyprus

ISBN: (纸本)9798350368697

Adrenocortical Carcinoma (ACC) can be detected and diagnosed using CT scans with the help of deep learning models, such as the novel MSHA model. The dataset used in the study consists of 53 patients with verified ACC and their contrast-enhanced CT scans. The MSHA model combines various approaches based on attention-based contextual information with mixed-scale dense convolution, a self-attention mechanism, and hierarchical feature fusion. Evaluation criteria are utilized to assess the model's performance, demonstrating outstanding precision, sensitivity, specificity, and an F1 score of 96.0%, along with an accuracy of 96.65%. This performance surpasses well-established models such as ResNet50, VGG16, VGG19, and InceptionV3 and proves valuable for detecting and diagnosing ACC, enhancing patient care and outcomes. © 2024 IEEE.

关键词： Computerized tomography

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Machine Learning Based Approaches for Cough Detection From Acceleration Signal 22

Machine Learning Based Approaches for Cough Detection From A...

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22nd International Conference on Cyberworlds, CW 2023

作者： Messaoud, Ines Belhaj Cheikh, Elyes Ben Chiboub, Assaad Loulou, Karim Ouakrim, Youssef Jebara, Sofia Ben Dixon, Philippe C. Mezghani, Neila University of Tunis El Manar National Engineering School of Tunis Tunis Tunisia University of Carthage Higher School of Communication of Tunis Tunis Tunisia Imaging and Orthopeadics Research Laboratory Chum Research Center Montréal Canada University of Carthage Higher School of Communication of Tunis Cosim Laboratory Tunis Tunisia University of Montreal Imaging and Orthopeadics Research Laboratory Faculty of Medicine Montréal Canada Teluq University Institute of Biomedical Engineering Chum Research Center Montréal Canada

ISBN: (纸本)9798350315653

The main goal of this research is to develop a a machine learning based method in order to detect cough from acceleration signals. In this study, two different methods are proposed: a conventional one that uses XGBoost as a classifier and a deep learning which uses CNN-1D as an architecture. We found that these models were able to distinguish between acceleration signals caused by coughing and acceleration signals caused by other activities such as clearing throat, talking, laughing and movements in different directions with high accuracy. This study affirms that cough monitoring based on accelerometer measurements generated by the Hexoskin device is possible, making it a new user-independent tool for cough detection. © 2023 IEEE.

关键词： Signal detection

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Injectable Platelet Lysate–Thai Silk Fibroin Hydrogel for Canine Intervertebral Disc Repair: A Minimally Invasive Strategy for Sustained Growth Factor Release

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SSRN 2025年

作者： Ratanavaraporn, Juthamas Chayatup, Kannika Boonkruephan, Sarinthorn Keeratihattayakorn, Saran Wangdee, Chalika Interdisciplinary Program of Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok Thailand Biomedical Engineering Research Center Faculty of Engineering Chulalongkorn University Bangkok Thailand Research Unit Chulalongkorn University Bangkok10330 Thailand Department of Veterinary Surgery Faculty of Veterinary Science Chulalongkorn University Bangkok Thailand

Canine intervertebral disc degeneration (IVDD) is a progressive spinal disorder that compromises mobility, induces chronic pain, and reduces quality of life. Existing treatments provide only symptomatic relief and do not halt disease progression or restore disc integrity. This study aims to develop and characterize an injectable platelet lysate–Thai silk fibroin (PL–TSF) hydrogel as a minimally invasive platform for localized and sustained growth factor delivery in canine IVDD treatment. The hydrogel was formulated using PL from expired canine platelet concentrates and TSF extracted from cocoons of Thai-bred Bombyx mori silkworms. Fabricated via sonication-induced gelation, it exhibited tunable gelation kinetics and injectability through a 27-gauge spinal needle, supporting clinical feasibility for minimally invasive delivery. PL incorporation enhanced the hydrogel’s elasticity and mechanical resilience without compromising scaffold integrity. The system demonstrated biphasic degradation over 35 days. TGF-β1 release kinetics exhibited an initial burst followed by sustained release over 28 days, consistent with diffusion-controlled delivery suitable for IVD repair. Cytotoxicity testing confirmed good biocompatibility and supported the viability of canine chondrocytes. By combining mechanical support with prolonged growth factor availability, PL–TSF hydrogels address key limitations of conventional platelet-based therapies and represent a promising strategy for early-stage IVDD intervention. Further in vivo studies are warranted to confirm long-term regenerative efficacy and facilitate clinical translation in veterinary medicine. © 2025, The Authors. All rights reserved.

关键词： Gelation

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pH/GSH dual responsive nanosystem for nitric oxide generation enhanced type I photodynamic therapy

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Bioactive Materials 2024年第4期34卷 414-421页

作者： Jianhua Zou Zheng Li Yang Zhu Yucen Tao Qing You Fangfang Cao Qinghe Wu Min Wu Junjie Cheng Jianwei Zhu Xiaoyuan Chen Departments of Diagnostic Radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and College of Design and EngineeringNational University of SingaporeSingapore119074Singapore Nanomedicine Translational Research Program NUS Center for NanomedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore117597Singapore Clinical Imaging Research Centre Centre for Translational MedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore117599Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnologyand Research(A*STAR)61 Biopolis DriveProteosSingapore138673Singapore Department of Plastic and Reconstructive Surgery Shanghai Ninth People’s HospitalShanghai Jiaotong UniversityShanghai200011PR China Department of Chemistry Center for Bioanalytical Chemistry University of Science and Technology of ChinaHefei230026PR China College of Life Science Nanjing Normal University1 Wenyuan RoadNanjing210023PR China

Tumor hypoxia diminishes the effectiveness of traditional type II photodynamic therapy(PDT)due to oxygen *** I PDT,which can operate independently of oxygen,is a viable option for treating hypoxic *** this study,we have designed and synthesized JSK@PEG-IR820 NPs that are responsive to the tumor microenvironment(TME)to enhance type I PDT through glutathione(GSH)*** approach aims to expand the sources of therapeutic benefits by promoting the generation of superoxide radicals(O_(2)^(-).)while minimizing their *** diisopropyl group within PEG-IR820 serves a dual purpose:it functions as a pH sensor for the disassembly of the NPs to release JSK and enhances intermolecular electron transfer to IR820,facilitating efficient O_(2)^(-).***,the release of JSK leads to GSH depletion,resulting in the generation of nitric oxide(NO).This,in turn,contributes to the formation of highly cytotoxic peroxynitrite(ONOO^(-).),thereby enhancing the therapeutic efficacy of these ***-II fluorescence imaging guided therapy has achieved successful tumor eradication with the assistance of laser therapy.

关键词： TME responsive NO gas therapy NIR-II imaging Type I PDT

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Reactivation of PPARαalleviates myocardial lipid accumulation and cardiac dysfunction by improving fatty acidβ-oxidation in Dsg2-deficient arrhythmogenic cardiomyopathy

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Acta Pharmaceutica Sinica B 2023年第1期13卷 192-203页

作者： Yubi Lin Ruonan Liu Yanling Huang Zhe Yang Jianzhong Xian Jingmin Huang Zirui Qiu Xiufang Lin Mengzhen Zhang Hui Chen Huadong Wang Jiana Huang Geyang Xu Department of Physiology School of MedicineJinan UniversityGuangzhou 510632China The First Dongguan Affiliated Hospital Guangdong Medical University Dongguan 523710China The Cardiovascular Center Department of CardiologyInterventional Medical CenterGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imagingthe Fifth Affiliated HospitalSun Yat-sen UniversityZhuhai 519000China Guangdong Provincial Cardiovascular Institute Guangdong Provincial People's HospitalGuangzhou 510080China Biotherapy Center Cell-gene Therapy Translational Medicine Research Centerthe Third Affiliated HospitalSun Yat-sen UniversityGuangzhou 510630China Department of Pathophysiology School of MedicineJinan UniversityGuangzhou 510632China Reproductive Medicine Center the Six Affiliated HospitalSun Yat-sen UniversityGuangzhou 51000China

Arrhythmogenic cardiomyopathy(ACM),a fatal heart disease characterized by fibroadipocytic replacement of cardiac myocytes,accounts for 20%of sudden cardiac death and lacks effective *** is often caused by mutations in desmosome proteins,with Desmoglein-2(DSG2)mutations as a common ***,the mechanism underlying the accumulation of fibrofatty in ACM remains unknown,which impedes the development of curative *** we investigated the fat accumulation and the underlying mechanism in a mouse model of ACM induced by cardiac-specific knockout of Dsg2(CS-Dsg2^(-/-)).Heart failure and cardiac lipid accumulation were observed in CSDsg2^(-/-)*** demonstrated that these phenotypes were caused by decline of fatty acid(FA)β-oxidation resulted from impaired mammalian target of rapamycin(m TOR)*** worsened while overexpression of m TOR and 4EBP1 rescued the FAβ-oxidation pathway in CS-Dsg2^(-/-)*** of PPARa by fenofibrate or AAV9-Ppara significantly alleviated the lipid accumulation and restored cardiac *** results suggest that impaired m TOR-4EBP1-PPARa-dependent FAβ-oxidation contributes to myocardial lipid accumulation in ACM and PPARa may be a potential target for curative treatment of ACM.

关键词： Arrhythmogenic cardiomyopathy Desmosome Desmoglein2 Heart failure Lipid accumulation mTOR PPARa FA oxidation

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Immune-activated microspheres for enhanced chemoembolization of hepatocellular carcinoma by blocking the adenosine A2A receptor

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Acta Biomaterialia 2025年 199卷 443-455页

作者： Chen, Minjiang Chen, Yaning Chen, Weiqian Chen, Xiaoxiao Guo, Xiaoju Yu, Junchao Guo, Xinyu Wang, Mengyuan Zhang, Xinyu Hu, Qin Fang, Shiji Zheng, Liyun Zhao, Zhongwei Du, Yongzhong Shu, Gaofeng Ji, Jiansong Zhejiang Key Laboratory of Imaging and Interventional Medicine School of Medicine Lishui Hospital of Zhejiang University Zhejiang China Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Zhejiang China Institute of Pharmaceutics College of Pharmaceutical Sciences Zhejiang University Zhejiang China Cixi Biomedical Research Institute Wenzhou Medical University Zhejiang China School of Medicine Lishui University Zhejiang China

Transcatheter arterial chemoembolization (TACE) stands as the frontline strategy for unresectable hepatocellular carcinoma (HCC), effectively eliminating cancer cells through direct cytotoxicity and immunogenic cell death (ICD). However, TACE triggers rapid tumor apoptosis, which promotes the release of intracellular ATP into the extracellular space. This ATP is sequentially hydrolyzed to adenosine (ADO) by ectonucleotidases (CD39 and CD73) overexpressed in the tumor microenvironment (TME), resulting in ADO accumulation. The ensuing ADO pathway-mediated immunosuppression via adenosine 2A receptors (A2AR) signaling severely limits TACE-induced ICD efficacy, resulting in poor prognosis. To address this, we developed gelatin microspheres co-loaded with doxorubicin (DOX) and the A2AR antagonist SCH-58,261, in which SCH-58,261 was loaded into solid lipid nanoparticle (SLNP) due to its poor water solubility. The microspheres (SLNP-SCH/DOX@MS) showed an average size of 49 ± 13 μm, with the capable of complete tumor vascular embolization, and sustained release profiles of both DOX and SCH-58,261 over 30 days. In vitro and in vivo studies indicated that SLNP-SCH/DOX@MS not only enhanced tumor cell apoptosis but also amplified ICD-mediated dendritic cell maturation and antigen presentation. Moreover, SCH-58,261 counteracted TACE-triggered ADO accumulation by competitively binding to A2AR on immune cells, thereby reversing dendritic cell dysfunction and CD8+ T cell exhaustion. This dual-action strategy synergized ICD-driven immunostimulation with ADO pathway blockade, reshaping the TME. Our findings highlight the potential of SLNP-SCH/DOX@MS to address the delicate equilibrium between ICD-induced immunity and ADO-mediated immunosuppression for improved HCC treatment. Statement of significance: This study introduces a approach to improve transcatheter arterial chemoembolization (TACE) for unresectable hepatocellular carcinoma (HCC) by addressing the adenosine (ADO) pathway, a k

关键词： Cell death

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Spectral unmixing for multispectral fluorescence imaging using prior knowledge of spectral signatures 18

Spectral unmixing for multispectral fluorescence imaging usi...

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Multimodal biomedical imaging XVIII 2023

作者： Zhang, Ruirui Chen, Duofang Ren, Shenghan Chen, Feng Chen, Xueli Biomedical-photonics and Molecular Imaging Laboratory School of Life Science and Technology Xidian University Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Shaanxi Xi'an710126 China Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment School of Life Science and Technology Xidian University Shaanxi Xi'an710126 China Shanghai Electro-Mechanical Engineering Institute Shanghai201109 China

ISBN: (纸本)9781510658479

Multispectral imaging is becoming a key technique for biomedical research, but the crosstalk between autofluorescence and fluorescent material severely affects the interpretation of fluorescence images. Spectral unmixing is an effective technique for removing autofluorescence and separating fluorescent targets in multispectral fluorescence imaging. However, the effectiveness of most methods of spectral unmixing has a strong relationship with the noise in the image. In this work, we propose a multispectral fluorescence unmixing method based on a priori information to obtain the pure spectra and their corresponding abundance coefficients in the images. First, the obtained multispectral image is segmented into several superpixels using a superpixel segmentation method, and then the relative pure spectra are extracted using a spectral extraction algorithm on the superpixels. Since the autofluorescence distribution is spread over the whole body, the extracted spectra in which the autofluorescence can be considered as pure spectra are used as a priori knowledge for unmixing. The pixel spectral data that are similar to the set of relatively pure spectra are selected as the pure spectral candidate set. Then the pure spectra can be obtained using the Non-negative matrix factorization method with prior knowledge(NMF-upk). Finally, the abundance corresponding to each spectral feature can be obtained through the least square method. The proposed unmixing method is tested on simulated data and the results show that our unmixing algorithm outperforms other methods. © 2023 SPIE.

关键词： Fluorescence imaging

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Understanding ADC variation by fat content effect using a dual-function MRI phantom

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European Radiology Experimental 2024年第1期8卷 19页

作者： Liu, Yi-Jui Tsai, Tung-Sheng Li, Ya-Hui Peng, Jo-Hua Chang, Hing-Chiu Peng, Hsu-Hsia Lee, Ying-Chieh Lee, Tung-Yang Liou, Chang-Hsien Lin, Tz-Feng Chew, Fatt-Yang Chou, Ruey-Hwang Juan, Chun-Jung Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital 199 Sec. 1 Xinglong Rd. Hsinchu County Zhubei City 302 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Biomedical Engineering Chinese University of Hong Kong Hong Kong Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan Department of Radiology School of Medicine China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 406 Taiwan Center for Molecular Medicine China Medical University Hospital Taichung Taiwan Department of Medical Laboratory and Biotechnology Asia University Taichung Taiwan

Background: A dual-function phantom designed to quantify the apparent diffusion coefficient (ADC) in different fat contents (FCs) and glass bead densities (GBDs) to simulate the human tissues has not been documented yet. We propose a dual-function phantom to quantify the FC and to measure the ADC at different FCs and different GBDs. Methods: A fat-containing diffusion phantom comprised by 30 glass-bead-containing fat-water emulsions consisting of six different FCs (0, 10, 20, 30, 40, and 50%) multiplied by five different GBDs (0, 0.1, 0.25, 0.5, and 1.0 g/50 mL). The FC and ADC were measured by the “iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ,” IDEAL-IQ, and single-shot echo-planar diffusion-weighted imaging, SS-EP-DWI, sequences, respectively. Linear regression analysis was used to evaluate the relationship among the fat fraction (FF) measured by IDEAL-IQ, GBD, and ADC. Results: The ADC was significantly, negatively, and linearly associated with the FF (the linear slope ranged from -0.005 to -0.017, R² = 0.925 to 0.986, all p < 0.001). The slope of the linear relationship between the ADC and the FF, however, varied among different GBDs (the higher the GBD, the lower the slope). ADCs among emulsions across different GBDs and FFs were overlapped. Emulsions with low GBDs plus high FFs shared a same lower ADC range with those with median or high GBDs plus median or lower FFs. Conclusions: A novel dual-function phantom simulating the human tissues allowed to quantify the influence of FC and GBD on ADC. Relevance statement: The study developed an innovative dual-function MRI phantom to explore the impact of FC on ADC variation that can affect clinical results. The results revealed the superimposed effect on FF and GBD density on ADC measurements. Key points: • A dual-function phantom made of glass bead density (GBD) and fat fraction (FF) emulsion has been developed. • Apparent diffusion coefficient (ADC) values

关键词： Adipose tissue Diffusion magnetic resonance imaging Phantoms (imaging) Quality assurance (healthcare) Quality control

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Evaluation of the Thyroid Cancer Treatment Techniques with Fuzzy VIKOR

Evaluation of the Thyroid Cancer Treatment Techniques with F...

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2022 Advances in Science and engineering Technology International Conferences, ASET 2022

作者： Mustapha, Mubarak Taiwo Uzun Ozsahin, Dilber Uzun, Berna Ozsahin, Ilker Near East University Operational Research Center in Healthcare Department of Biomedical Engineering Nicosia Cyprus University of Sharjah Department of Medical Diagnostic Imaging Sharjah United Arab Emirates Near East University Operational Research Center in Healthcare Department of Mathematics Nicosia Cyprus Near East University Operational Research Center in Healthcare Department of Biomedical Engineering Mersin10 Turkey

ISBN: (纸本)9781665418010

Thyroid cancer is the most common endocrine malignancy associated with follicular or non-follicular thyroid cells. While ionizing radiation is a significant risk factor for thyroid cancer, other variables like smoking, obesity, hormone exposure, and environmental pollutants also contribute. This study aims to evaluate current treatment alternatives for thyroid cancer to find the most effective ones. This will assist clinicians and patient families in selecting the most effective treatment option with the most negligible adverse side effects. The study employed the technique of fuzzy-based VIKOR (VlseKriterijumska Optimizcija I Kaompromisno Resenje). Targeted therapy outperformed other alternatives and was ranked the most preferred treatment option for thyroid cancer. This result is based on the criteria chosen. These include treatment cost, length, survival rate, recovery time, and side effects. The fuzzy VIKOR method is a realistic and straightforward way to decide which procedures are appropriate for a patient. It also suggests less desirable therapy options to keep the patient comfortable and pain-free. © 2022 IEEE.

关键词： Decision making

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Qualitative analysis of caffeine in beverages based on Raman spectroscopy 17

Qualitative analysis of caffeine in beverages based on Raman...

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17th International Conference on Photonics and imaging in Biology and Medicine, PIBM 2024

作者： Yang, Yuhang Zhao, Zexian Pu, Wenjun Wu, Huikang Wang, Nan Zeng, Qi Chen, Xueli Center for Biomedical-photonics and Molecular Imaging Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province School of Life Science and Technology Xidian University Shaanxi Xi'an710126 China Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information School of Life Science and Technology Xidian University Shaanxi Xi'an710126 China Inovation Center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of Technology Xidian University Guangdong Guangzhou510555 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

Caffeine is an alkaloidal stimulant prevalently in food additives. The widespread presence of caffeine in a wide range of beverages has led to increased consumption, commonly exceeding safe levels. In this study, about 30 beverages available in the Chinese market, were analyzed using a 785 nm Raman spectrometer. The raw spectral data were preprocessed by noise reduction and baseline correction. The qualitative model was established using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), and the classification discrimination was carried out using K-nearest neighbor algorithm (KNN) and support vector machine algorithms (SVM). Especially, the two models could identify "Spirte" (without caffeine) from other beverages. It was demonstrated that Raman spectroscopy combined with machine learning can provide non-destructive, fast and efficient qualitative detection of caffeine in liquid beverages. © 2025 SPIE.

关键词： Noise abatement

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