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28th International Conference on Neural Information Processing, ICONIP 2021

作者： Nartey, Obed Tettey Yang, Guowu Agyapong, Dorothy Araba Yakoba Wu, JinZhao Sarpong, Asare K. Frempong, Lady Nadia Big Data Research Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China The School of Computer Science and Electronic Information Guangxi University Nanning530004 China Biomedical Engineering Program Kwame Nkrumah University of Science and Technology Kumasi Ghana School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China School of Medicine Department of Radiology and Imaging Sciences Emory University 1364 Clitton Rd. AtlantaGA30322 United States

ISBN: (纸本)9783030921842

Semi-supervised learning algorithms make use of both labelled training data and unlabelled data. However, the visual domain gap between these sets poses a challenge which prevents deep learning models from obtaining the results they have achieved most especially in the field of medical imaging. Recently, self-training with deep learning has become a powerful approach to leverage labelled training and unlabelled data. However, a challenge of generating noisy pseudo-labels and placing over-confident labelling belief on incorrect classes leads to deviation from the solution. To solve this challenge, the study investigates a curriculum-styled approach for deep semi-supervised segmentation which relaxes and treats pseudo-labels as continuous hidden variables by developing an adaptive pseudo-label generation strategy to jointly optimized the pseudo-label generation and selection process. A regularization scheme is further proposed to smoothen the probability outputs and sharpen the less represented pseudo-label regions. The proposed method was evaluated on three publicly available Computer Tomography (CT) scan benchmarks and extensive experiments on all modules have demonstrated the efficacy of the proposed method. © 2021, Springer Nature Switzerland AG.

关键词： Curricula

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A novel strategy towards the fabrication of highly stable and sensitive non-enzymatic glucose sensor based on Ni3N thin films using high power impulse magnetron sputtering

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Applied Surface science 2024年 669卷

作者： Pardhi, Nishchal Cheng, Wei-Chun Chen, Sheng-Chi Akshay Joshi, Shikha Govindasamy, Mani Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan Department of Materials Engineering and Center for Plasma and Thin Film Technologies Ming Chi University of Technology New Taipei City243303 Taiwan College of Engineering and Center for Green Technology Chang Gung University Taoyuan333 Taiwan Department of Materials Engineering Indian Institute of Science Bangalore560012 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Tamil Nadu Chennai602105 India Research Center for Intelligence Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan

Glucose level surveillance in mankind is considered the greatest need of recent times to achieve healthy lifestyle goals due to its health-related concern for humans. To fulfill the need, Nickel-based compounds emerge with excellent bio-mimic properties. However, due to the poor electrical properties of oxides and hydroxides of Ni, developing a supporting base that can enhance electron transportation is mandatory. The present work is dedicated to non-enzymatic glucose detection by electrochemical means on the Ni3N thin film on an Indium-doped Tin Oxide (ITO) substrate as a working electrode in an alkaline medium. The Ni3N films use HiPIMS as a deposition technique due to its high ionization rate of sputtered species and dense plasma which helps the Ni ions to react with nitrogen in the formation of a perfect Ni3N phase, and it is a green process that can contribute to sustainable manufacturing. Ni3N thin film deposited at a 60 % N2 flow ratio shows the largest crystallinity and catalytic properties, which helps this modified electrode to have significant potential for glucose detection. The Ni3N modified electrode acquires a lower linear range of 0.001–1.25 mM with sensitivity and Limit of Detection (LOD) of 337.46 µAmM–1cm−2, and 0.78 µM, respectively, and a higher linear range of 1.25–7.3161 mM with a sensitivity of 158.58 µAmM–1cm−2. The amperometric measurements reveal the fast response of the electrode towards glucose detection at 2.46 secs. The key measures of the electrode according to the corresponding measurements are satisfactory selectivity, reproducibility, repeatability, and operational stability. The modified electrode shows a significant response for real samples such as commercially available honey, apple juice, and biological fluids. © 2024 Elsevier B.V.

关键词： Thin films

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Preparation and Characterization of Nanopatterned Polycaprolactone/Cellulose Nanocrystal Composite Membranes for Cardiovascular Tissue engineering 15

Preparation and Characterization of Nanopatterned Polycaprol...

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15th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2021

作者： Batta-Mpouma, Joseph Kandhola, Gurshagan Kuczwara, Patrick Chivers, Cody Kim, Woochan Jensen, Hanna Kim, Jangho Jensen, Morten Kim, Jin-Woo Materials Science & Engineering Program Institute For Nanoscience & Engineering University of Arkansas Department of Biological & Agricultural Engineering FayettevilleAR United States Engineering And Institute For Nanoscience & Engineering University of Arkansas Department of Biological & Agricultural FayettevilleAR United States Institute For Nanoscience & Engineering University of Arkansas FayettevilleAR United States Chonnam National University Department of Rural & Biosystems Engineering Gwangju Korea Republic of University of Arkansas Department of Biomedical Engineering FayettevilleAR United States

ISBN: (纸本)9781665458566

Cardiac tissue exhibits very low regenerative capacity. Polymeric tissue scaffolds designed for repair of damaged cardiac tissue need to have the right balance of mechanical and biological characteristics that are necessary to withstand inherent stresses generated by cyclic contraction of cardiomyocytes and to promote cell attachment and growth. Polycaprolactone (PCL), a biocompatible polymer with low biodegradability, is a promising material to develop scaffolds for tissue engineering (TE). However, its high stiffness limits its use as a matrix for cardiovascular TE. In this work, we evaluated the physical, mechanical and surface properties of PCL and cellulose nanocrystal (CNC) composite membranes, imprinted with a three-dimensional groove-ridge pattern, and their potential for cardiomyocyte adhesion and growth. This work demonstrates the impact of (a) incorporating CNCs within the PCL matrix and (b) patterning the membrane, on the surface roughness, wettability, and mechanical properties of composites, with an aim to alleviate the limitations of pure PCL scaffolds for cardiac TE applications. © 2021 IEEE.

关键词： Biocompatibility

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Transcriptomic analysis of embryonic mouse hypothalamic N38 cells exposed to high-energy protons and/or simulated microgravity

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Heliyon 2024年第20期10卷 e39533页

作者： Suwanprakorn, Nattha Shin, Kyung-Ju Tran, Phuong Hoa Truong, Ngoc Thuan Kim, Kyu-Sung Yoo, Hye Jin Yang, Su-Geun Inha Institute of Aerospace Medicine Inha University College of Medicine Incheon 22332 South Korea Department of Biomedical Science BK21 FOUR Program in Biomedical Science and Engineering Inha University College of Medicine Incheon 22332 South Korea Department of Otorhinolaryngology Head and Neck Surgery Inha University Hospital Incheon 22332 South Korea Institute for Specialized Teaching and Research (INSTAR) Inha University Incheon 22332 South Korea

Purpose: Space exploration poses unique challenges to astronauts, especially the effects of space radiation and microgravity (μG). Understanding molecular responses to these factors is crucial for ensuring astronaut health, and this study aimed to identify transcriptomic changes in mouse hypothalamic cell line N38 (mHypoE-N38) caused by simulated space environments. Method: Four experimental groups were established, namely, a ground condition group (GC;the control group), a proton irradiated group (the space radiation group), a simulated μG group, and a proton irradiated × simulated μG group (the combination group). RNA sequencing and quantitative real-time polymerase chain reaction were performed to investigate key altered genes and to validate them. Results: Three hundred and fifty-five differentially expressed genes were identified. Notably, the expressions of UCN2 and UGT1A5 genes were upregulated in all three experimental groups, suggesting a shared regulatory mechanism with potential consequences for brain function during space missions. Moreover, the study revealed significant alterations in genes belonging to the USP17 and ZSCAN4 families, indicating active response to DNA damage and telomere maintenance. PCR results validated that UGT1A5, USP17 family, and ZSCAN4 families (ZSCAN4C, ZSCAN4D, and ZSCAN4F) were significantly upregulated at the mRNA level in the combination group, while UCN2, ZSCAN4A, and ZSCAN4B were not reproduced. Conclusion: The present study on mHypoE-N38 cells exposed to space environments revealed a complex molecular narrative with disease-oriented implications. The knowledge gained might serve as a cornerstone for developing strategies to mitigate potential health risks associated with extended exposure to space-related stressors. © 2024

关键词： Cosmic radiation Microgravity N38 embryonic mouse hypothalamus cell line RNA sequencing ZSCAN4 gene

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Guava Trees Disease Monitoring Using the Integration of Machine Learning and Predictive Analytics 3

Guava Trees Disease Monitoring Using the Integration of Mach...

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3rd Novel Intelligent and Leading Emerging sciences Conference, NILES 2021

作者： Elsayed, Mahmoud Hassan, Nourhan Maher, Marina Waleed, Nouran Reda, Rehab Eldin, Haitham Sharaf Mostafa, Hassan The American University of Cairo Mechatronics Department Egypt Nile University Giza12677 Egypt Communication Engineering Alexandria University Egypt Biomedical Engineering Cairo University Egypt Tanta University Egypt Cairo University Faculty of Science Biophysics Department Egypt Cairo University Electronics and Electrical Communications Engineering Department Giza Egypt University of Science and technology Nanotechnology and Nanoelectronics Program Zewail City of Science and Technology October Gardens 6th of October Giza12578 Egypt

ISBN: (纸本)9781665421577

The increase in population, food demand, and the pollution levels of the environment are considered major problems of this era. For these reasons, the traditional ways of farming are no longer suitable for early and accurate detection of biotic stress. Recently, precision agriculture has been extensively used as a potential solution for the aforementioned problems using high resolution optical sensors and data analysis methods that are able to cope with the resolution, size and complexity of the signals from these sensors. In this paper, several methods of machine learning have been utilized in order to study pests, their types, population, and agricultural conditions in terms of soil and climate for some crops such as potatoes, guava, and cotton, which are among the main Egyptian crops. In the process of obtaining a suitable estimate of insects population affecting each of the aforementioned crops, a hardware model control, based on the results provided by the predictive analysis, an estimate of the electromagnetic force is applied to the cultivated areas to get rid of the pests as well as giving a background to farmers about the possibility of infecting a crop such as Potato with Late Blight, according to climatic conditions. © 2021 IEEE.

关键词： Model predictive control

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Droplet microfluidic platform for intracellular phase separation experiments 24

Droplet microfluidic platform for intracellular phase separa...

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24th International Conference on Miniaturized Systems for Chemistry and Life sciences, MicroTAS 2020

作者： Chan, Katherine Navi, Maryam Kieda, Jennifer Tsai, Scott S.H. Graduate Program in Biomedical Engineering Ryerson University Toronto Canada Department of Mechanical and Industrial Engineering Ryerson University Toronto Canada Keenan Research Center for Biomedical Science St. Michael's Hospital Toronto Canada

ISBN: (纸本)9781733419017

In the field of intracellular phase separation, characterizing the composition and formation of liquid-like organelles is important to understanding their functional relevance. We introduce a microfluidic assay for in vitro testing of formation of these intracellular compartments where water-in-oil droplets containing different concentrations of phase separating components are generated. This platform has the distinct advantage of high-throughput, minimal reagent experiments that enables the necessary data collection and qualitative observation of conventional bulk methods. © 2020 CBMS-0001

关键词： Phase separation

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Novel synthesis of manganese cobalt layered double hydroxide and sulfur-doped nickel cobalt layered double hydroxide composite as efficient active material of battery supercapacitor hybrids

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Journal of Energy Storage 2023年 57卷

作者： Hsiao, Yu-Cheng Liao, Chen-Hao Hsu, Chia-Shuo Yougbaré, Sibidou Lin, Lu-Yin Wu, Yung-Fu International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA94305-5428 United States Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan

Nickel and cobalt layered double hydroxide (NiCo-LDH) is one of promising active materials of battery supercapacitor hybrids (BSH) as the clean renewable energy. Designing composites and doping heteroatoms are widely applied to solve poor conductivity, serious agglomeration, and structural defects of NiCo-LDH. In this work, manganese cobalt LDH (MnCo-LDH) is firstly incorporated in sulfur-doped NiCo-LDH (S-NiCo-LDH) on Ni foam (NF) via the hydrothermal process as a binder-free electrode of BSH. Favorable morphology with nanowires covered on the vertical grown nanosheet array is successfully designed for MnCo-LDH/S-NiCo-LDH with the large specific surface area and the well-established pore structure. The specific capacitances (CF) of 681.4, 953.9 and 1581.3 F/g are respectively achieved for the NiCo-LDH, S-NiCo-LDH, MnCo-LDH/S-NiCo-LDH electrodes at the current density of 1 A/g. The larger CF value of MnCo-LDH/S-NiCo-LDH is due to larger conductivity and effective charge transfer paths. A BSH assembled using MnCo-LDH/S-NiCo-LDH/NF and graphene/NF electrodes shows a wide potential window of 1.6 V, a large maximum energy density of 46.6 Wh/kg at 0.8 kW/kg, and an excellent cyclic stability with the CF retention of 81% and the Coulombic efficiency higher than 87% after 10,000 times charge/discharge process at the current density of 7 A/g. © 2022

关键词： Supercapacitor

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Integrating subvolume dose and myocardial perfusion imaging parameters to assess the impact of radiation therapy on heart function in breast cancer patients: A comparative analysis between left- and right-sided breast cancer

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Thoracic Cancer 2023年第26期14卷 2696-2706页

作者： Wang, Shan-Ying Tsai, Wei-Ta Lin, Kuan-Heng Yu, Chih-Wei Yang, Shu-Ya Shueng, Pei-Wei Wu, Yen-Wen Hsu, Chen-Xiong Wu, Tung-Hsin Department of Biomedical Imaging and Radiological Sciences National Yang Ming Chiao Tung University Taipei Taiwan Department of Nuclear Medicine Far Eastern Memorial Hospital New Taipei City Taiwan Department of Radiation Oncology Dalin Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Chiayi Taiwan Division of Radiation Oncology Department of Radiology Far Eastern Memorial Hospital New Taipei City Taiwan Industrial Ph.D. Program of Biomedical Science and Engineering National Yang Ming Chiao Tung University Taipei Taiwan Department of Radiation Oncology China Medical University Hsinchu Hospital Zhubei City Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu City Taiwan Department of Nuclear Medicine Cheng Hsin General Hospital Taipei Taiwan School of Medicine College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Division of Cardiology Cardiovascular Medical Center Far Eastern Memorial Hospital New Taipei City Taiwan

Background: This study aimed to utilize an innovative method of integrating the 20 subvolume dose of left ventricle and the Tl-201 single photon emission computed tomography (SPECT) with myocardial perfusion imaging (MPI) parameters in patients with left- and right-sided breast cancer after radiation therapy. Methods: Female patients with breast cancer underwent SPECT MPI before commencing radiotherapy and 12 months later were enrolled from January 2014 to December 2018. The images of CT simulation and SPECT MPI were integrated into the treatment planning system. The differences of doses and parameters of MPI in all cardiac subvolumes between left- and right-sided breast cancer patients were analyzed. Results: Patients with left-sided breast cancer (n = 61) received a higher radiation dose to the heart, left ventricular, and its territories and subvolumes, compared to patients with right-sided breast cancer (n = 19). The 20-segment analysis also showed statistically significant disparities in the average radiation doses received by the two groups. In different coronary artery territories, the end-diastolic perfusion and end-systolic perfusion showed a decrease in both sides, with no significant differences. However, the wall motion and wall thickening showed a significant decline in subregions within the left- and right-sided coronary artery territories. Conclusion: This study demonstrates an innovative integrated method combining the left ventricular 20 regional doses with SPECT MPI which shows that left-sided breast cancer patients receive a higher subvolume dose than right-sided breast cancer patients. Further research is needed to confirm the potential impact on heart function after radiotherapy on both sides. © 2023 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

关键词： myocardial perfusion imaging radiation therapy subvolume dose

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Santa Fe Oxa: Self-Assembled Oxaliplatin Nanomicelle for Enhanced Cascade Cancer Chemotherapy Via Self-Sensitized Ferroptosis

SSRN

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SSRN 2024年

作者： Shi, Jianbin Ma, Wenjing Zheng, Shunzhe Xia, Fengli Liu, Xinying Kikkawa, Ayumi Tanaka, Kaho Kamei, Ken-Ichiro Tian, Chutong Department of Pharmaceutics Wuya College of Innovation Shenyang Pharmaceutical University Shenyang110016 China Kyoto University Kyoto606-8501 Japan Program of Biology Division of Science New York University Abu Dhabi Abu Dhabi United Arab Emirates Program of Bioengineering Division of Engineering New York University Abu Dhabi Abu Dhabi United Arab Emirates Department of Biomedical Engineering Tandon School of Engineering New York University MetroTech BrooklynNY11201 United States Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province Hangzhou310058 China

The clinical utility of chemotherapy is often compromised by its limited efficacy and significant side effects. Addressing these concerns, we develop a self-assembled nanomicelle, namely SANTA FE OXA, which is composed of hyaluronic acid (HA) conjugated with ferrocene methanol (FC-OH), oxaliplatin prodrug (OXA(Ⅳ)) and glycol-coupled linoleic acid (EG-LA). Targeted delivery is achieved as HA binds to the CD44 receptors that are overexpressed on tumor cells, facilitating drug uptake. Once internalized, hyaluronidase (HAase) catalyzes the digestions of the SANTA FE OXA, releasing FC and reducing OXA(Ⅳ) into an active form. Active OXA induces DNA damage, while simultaneously promoting intracellular hydrogen peroxide levels via cascade reactions. In parallel, FC disrupts the redox balance within tumor cells, inducing ferroptosis. The synergistic combination of cascade chemotherapy and self-sensitized ferroptosis therapy has demonstrated remarkable anti-cancer efficacy in both in vitro and in vivo models. Moreover, this SANTA FE OXA significantly mitigates the systemic toxicity commonly associated with platinum-based chemotherapeutics. Our findings suggest a compelling advancement in nanomedicine for enhanced cascade cancer therapy. © 2024, The Authors. All rights reserved.

关键词： Chemotherapy

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A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features 23

A deep learning approach to Lung Nodule Growth Prediction us...

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7th International Conference on Medical and Health Informatics, ICMHI 2023

作者： Li, Ai-Hsien Adams Nguyen, Duc-Khanh Lai, Yen-Jun Chien, Ting-Ying Chiu, Yen-Ling Chan, Chien-Lung Yang, Pan-Chyr Division of Cardiology Far Eastern Memorial Hospital Taipei220 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Department of Information Management Yuan Ze University Taoyuan320 Taiwan Department of Radiology Far Eastern Memorial Hospital Taipei220 Taiwan Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan Graduate Institute of Medicine and Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Medical Research Far Eastern Memorial Hospital Taipei Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan320 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei106 Taiwan Department of Internal Medicine College of Medicine National Taiwan University Taipei100 Taiwan Center of Genomic Medicine National Taiwan University Taipei100 Taiwan

ISBN: (纸本)9798400700712

Lung cancer remains a significant global public health concern, being the leading cause of cancer-related deaths worldwide. Despite recent medical advancements, the disease still has a high mortality rate, making early detection and treatment critical for improving patient outcomes. Accurate prediction of nodule growth is key to early lung cancer treatment, but current assessments offer unclear indications of future growth, leading physicians to recommend costly and anxiety-provoking follow-up appointments every 3 to 12 months. To address this need, this study develops an ensemble deep learning approach that combines demographic data with existing CT images to predict whether lung nodules will grow, potentially reducing unnecessary examinations and easing the burden on patients. Our study, conducted on 862 patients with 1004 nodules, produced promising preliminary results with Accuracy, Sensitivity, Precision, F1 Score, and AUC of 0.66, 0.66, 0.67, 0.66, and 0.71, respectively. The proposed method provides a promising support system to empower patients to make informed decisions about seeking medical attention and helps physicians facilitate early treatment regimens, leading to improved patient outcomes and potentially saving lives. © 2023 ACM.

关键词： Forecasting

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