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第十一届全国化学生物学学术会议

作者：和树庆 Changfeng Wu Junle Qu Zhen Cheng 南方科技大学 Academy for Advanced Interdisciplinary Studies and Department of Biomedical Engineering Southern University of Science and Technology(SUSTech) Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic EngineeringShenzhen University Molecular Imaging Program at Stanford(MIPS) Bio-X Programand Department of RadiologyCanary Center at Stanford for Cancer Early DetectionStanford University

As a newly non-invasive emerging modality,NIR-Ⅱ fluorescence imaging(1000-1700 nm) has many advantages over conventional visible and NIR-I imaging(700-900 nm).[1-5] Unfortunately,few NIR-Ⅱ fluorophores are suitable for bone ***,we report an NIR-Ⅱ fluorophore based on DSPE-mPEG encapsulated rare earth doped nanoparticles(RENPs@DSPE-mPEG),which shows inherent affinity to bone without linking any targeting ligands,and thus it provides an alternative non-invasive and non-radiation strategy for skeletal system mapping and bone diseases ***,within NIR-Ⅱ window,imaging at longer wavelength(1345 nm) provides higher resolution and signal-to-noise ratio than that imaging at 1064 nm,even though quantum yield at 1064 nm is 2-fold higher than that at 1345 nm.[2] Besides bone imaging,RENPs@DSPE-mPEG show imaging application in blood vessel and lymph ***,RENPs@DSPE-mPEG can be internalized by circulating white blood *** finding may open a window to increase efficient nanoparticle delivery in the fields such as immunotherapy and improve the diagnostic and therapeutic efficacy of cancer-targeted nanoparticles in clinical applications.

关键词： NIR-Ⅱ imaging NIR-Ⅱa imaging Bone imaging Rare earth doped nanoparticles Thrombus

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

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

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

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

关键词： injuries modal mounted

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LoraMap: Harnessing the Power of LoRA Connections

arXiv

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arXiv 2024年

作者： Park, Hyeryun Kwak, Jeongwon Jang, Dongsuk Park, Sumin Choi, Jinwook Interdisciplinary Program for Bioengineering Graduate School Seoul National University Korea Republic of Integrated Major in Innovative Medical Science Graduate School Seoul National University Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of Medical Research Center Institute of Medical and Biological Engineering Seoul National University Korea Republic of

Fact-checking techniques can mitigate hallucinations in Large Language Models (LLMs), a prominent issue in specialized domains. As parameter-efficient techniques such as Low-Rank Adaptation (LoRA) can overcome substantial computational overhead, some studies have explored the integration of multiple LoRAs. While previous studies focus on parallel integration, this paper investigates methods to establish connections among multiple LoRAs. We create three reasoning datasets tailored to fact-checking and fine-tune individual LoRAs, allowing them to view and reason from diverse perspectives. Then, we explore strategies for allocating these reasoning LoRAs and introduce LoraMap, an approach to map connections between them. The results of the fact-checking task demonstrate that the performance of LoraMap is superior to LoraHub, an existing method for integrating LoRAs. LoraMap also outperforms with significantly fewer trainable parameters than LoraConcat, which concatenates LoRAs and further fine-tunes them. Copyright © 2024, The Authors. All rights reserved.

关键词： Problem oriented languages

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Multimodal Spatial Attention Network for Automatic Head and Neck Tumor Segmentation in FDG-PET and CT Images 1

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2nd 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021

作者： Cho, Minjeong Choi, Yujin Hwang, Donghwi Yie, Si Young Kim, Hanvit Lee, Jae Sung School of Electrical and Electronics Engineering Chung-Ang University Seoul06974 Korea Republic of Department of Biomedical Engineering Kyunghee University College of Electronics and Information 1732 Deogyeong-daero Giheung-gu Gyeonggi-do Yongin-si Korea Republic of Department of Nuclear Medicine Seoul National University College of Medicine Seoul03080 Korea Republic of Department of Biomedical Sciences Seoul National University College of Medicine Seoul03080 Korea Republic of Interdisciplinary Program in Bioengineering Seoul National University Graduate School Seoul Korea Republic of Integrated Major in Innovative Medical Science Seoul National University Graduate School Seoul Korea Republic of Ulsan Korea Republic of Artificial Intelligence Institute Seoul National University Seoul08826 Korea Republic of Brightonix Imaging Inc. Seoul04782 Korea Republic of

ISBN: (数字)9783030982539

ISBN: (纸本)9783030982522

Quantitative positron emission tomography/computed tomography (PET/CT), owing to the functional metabolic information and anatomical information of the human body that it presents, is useful to achieve accurate tumor delineation. However, manual annotation of a Volume Of Interest (VOI) is a labor-intensive and time-consuming task. In this study, we automatically segmented the Head and Neck (H&N) primary tumor in combined PET/CT images. Herein, we propose a convolutional neural network named Multimodal Spatial Attention Network (MSA-Net), supplemented with a Spatial Attention Module (SAM), which uses a PET image as an input. We evaluated this model on the MICCAI 2021 HEad and neCK TumOR (HECKTOR) segmentation challenge dataset. Our method delivered a competitive cross-validation efficiency, with Dice Similarity Coefficient (DSC) 0.757, precision 0.788, and recall 0.785. When we tested out method on test dataset, we achieved an average DSC and Hausdorff Distance at 95% (HD95) of 0.766 and 3.155 respectively. Our team name is ‘Heck_Uihak’. © 2022, Springer Nature Switzerland AG.

关键词： Tumors

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Label-free Imaging of Membrane Potential via Stimulated Raman Scattering

Label-free Imaging of Membrane Potential via Stimulated Rama...

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2015年中国生物医学工程联合学术年会

作者： Bin Liu Hyeon Jeong Lee Delong Zhang Chien-Sheng Liao Na Ji Yuanqin Xia Ji-Xin Cheng National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of TechnologyHa Interdisciplinary Life Science Program Purdue UniversityWest LafayetteIndiana 47907United States Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteIndiana 47907United States Janelia Research Campus Howard Hughes Medical InstituteAshburnVirginia 20147United States National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of TechnologyHa Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteIndiana 47907United States

Hyperspectral stimulated Raman scattering microscopy is deployed to measure single-membrane vibrational spectrum as a function of membrane *** erythrocyte ghost as a model,quantitative correlation between transmembrane potential and Raman spectral profile was ***,the ratio between the area under Raman band at~2930 cm-1 and that at~2850 cm-1 increased by~2.6 times when the potential across the erythrocyte ghost membrane varied from +10 mV to-10 mV.

关键词： Membrane potential stimulated Raman scattering Raman spectroscopy

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Naked-eye observation of water-forming reaction on palladium etalon:transduction of gas-matter reaction into light-matter interaction

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PhotoniX 2023年第1期4卷 349-363页

作者： Jongsu Lee Eui-Sang Yu Taehyun Kim In Soo Kim Seok Chung Seung Jae Kwak Won Bo Lee Yusin Pak Yong-Sang Ryu Sensor System Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea Department of Electrical and Computer Engineering Seoul National UniversitySeoul 08826Republic of Korea Smart Materials Research Section Electronics and Telecommunications Research InstituteDaejeon 34129Republic of Korea Department of Micro/Nano Systems Korea University02841 SeoulRepublic of Korea Nanophotonics Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea School of Mechanical Engineering Korea UniversitySeoul 02841Republic of Korea School of Chemical and Biological Engineering Seoul National UniversitySeoul 08826Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02481Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02481Republic of Korea

Palladium is the most prominent material in both scientific and industrial research on gas storage,purification,detection,and catalysis due to its unique properties as a catalyst and hydrogen *** the dynamic optical phenomena of palladium reacting with hydrogen,transduction of the gas-matter reaction into light-matter interaction is attempted to visualize the dynamic surface chemistry and reaction *** simple geometry of the metal-dielectric-metal structure,Fabry-Perot etalon,is employed for a colorimetric reactor,to display the catalytic reaction of the exposed gas via water-film/bubble formation at the dielectric/palladium *** adsorption/desorption behavior and catalytic reaction of hydrogen and oxygen on the palladium surface display highly repeatable and dramatic color changes based on two distinct water formation trends:the foggy effect by water bubbles and the whiteout effect by water film *** and experiments demonstrate the robustness of the proposed Fabry-Perot etalon as an excellent platform for monitoring the opto-physical phenomena driven by heterogeneous catalysis.

关键词： Palladium Hydrogen Oxygen Fabry-Perot resonators Colorimetric sensors Water-forming reaction

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Estimation of the Blood Pressure using Arterial Pressure-Volume Model

Estimation of the Blood Pressure using Arterial Pressure-Vol...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： J. H. Jung S. H. Yoon J. H. Kim I. C. Kim A. Y. Jeon S. Y. Ye B. C. Kim B. J. Shin J. H. Ro K. G. Nam Y. J. Kim G. R. Jeon Department of Interdisciplinary program in Biomedical Engineering Pusan National University Busan Korea PhysioLab Corp. Busan Korea Department of Physics Inje University Kyungnam Korea BK21 Medical Science Education Center School of medicine Pusan National Universiry Busan Korea Department of BioSystems Engineering Pusan National University Kyungnam Korea Department of Biomedical Engineering College of Medicine Pusan National University Busan Korea Department Electronics Engineering Pusan National University Busan Korea Department of Family Medicine Pusan National University Busan Korea PhysioLab Corporation Busan South Korea

An analysis of the conventional blood pressure estimation method of the oscillometric sphygmomanometer was performed through a computer simulation using an arterial pressure-volume(APV) model. A more accurate blood pressure estimation method was proposed from the analysis. Traditionally, the maximum amplitude algorithm was applied on the oscillation waveforms of the APV model to get the mean arterial pressure and the characteristic ratio. In doing so, the shape of pressure waveforms and the cutoff frequency of high-pass filter circuitry strongly affected the estimation of mean arterial pressure and characteristic ratio. This resulted in errors when estimating blood pressure. To find an algorithm independent from the influence of waveform shapes and filter parameters, the volume oscillation of the APV model and the phase shift of the oscillation with FFT were identified by increasing the cuff pressure from 1 mmHg to 200 mmHg (1 mmHg per second). The phase shift between the ranges of volume oscillation was then only observed between the systolic and diastolic blood pressures. The same results were obtained from simulations performed on two different arterial blood pressure waveforms and one hyperthermia waveform.

关键词： Blood pressure Shape Filters Performance analysis Computer simulation Cutoff frequency Circuits Frequency estimation Arterial blood pressure Hyperthermia

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New model of subconjunctival tumor development in rabbits

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Journal of biomedical Optics 2013年第7期18卷 070501页

作者： Hwang, Sang Seok Kim, Jeong Eun Chun, Bong-Kwon Jung, Sangbong Park, Eun-Kee Lee, Hu-Jang Jung, Mannhong Lee, Sang-Joon Noh, Gwang Myung Masanganise, Rangarirai Oak, Chulho Ahn, Yeh-Chan Pukyong National University Department of Biomedical Engineering Interdisciplinary Program of Medical Biotechnology Application Engineering Busan 608-737 Korea Republic of Kosin University College of Medicine Department of Pathology Busan 602-702 Korea Republic of Kosin University College of Medicine Institute for Global Health and Environment Cooperation Busan 602-702 Korea Republic of Gimhae College Department of Clinical Laboratory Science Gimhae 621-706 Korea Republic of Kosin University College of Medicine Department of Medical Humanities and Social Medicine Busan 602-702 Korea Republic of Gyeongsang National University College of Veterinary Medicine Research Institute of Life Sciences Chinju 660-701 Korea Republic of Kosin University College of Medicine Department of Internal Medicine Busan 602-702 Korea Republic of Kosin University College of Medicine Department of Ophthalmology Busan 602-702 Korea Republic of University of Zimbabwe College of Medicine Department of Ophthalmology Harare Zimbabwe

Conjunctival squamous cell carcinoma (SCC) is an uncommon disease. However, SCC has recently become an important clinical problem due the identification of a significantly high incidence of SCC among a group of black African patients with AIDS. However, basic research concerning SCC, including both intraepithelial and invasive squamous neoplasia, is limited due to the lack of an ocular tumor animal model. Specifically, current ocular imaging and treatment modalities are insufficient for investigating currently available small animal models, because the conjunctival space is not comparable to that of humans. We describe the development of a reproducible model of subconjunctival squamous carcinoma in moderate-sized immunocompetent rabbits. Under optical coherence tomography guidance, 1 × 107 VX2 carcinoma cells are inoculated into the subconjunctival space of 3 to 4-kg New Zealand white rabbits. Malignant tumor involvement developed on the subconjunctival space after an average of 1 to 2 weeks. This subconjunctival tumor model induction method will likely facilitate a broad range of investigation of subconjunctival cancer diagnostics and therapeutics. © Society of Photo-Optical Instrumentation Engineers.

关键词： Tumors

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Label-Free and Liquid State Sers Detection of Multi-Scaled Bioanalytes Via Light-Induced Pinpoint Colloidal Assembly

SSRN

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SSRN 2024年

作者： Han, Seungyeon Park, Junhee Moon, Sunghyun Eom, Seonghyeon Jin, Chang Min Kim, Seungmin Ryu, Yong-Sang Choi, Yeonho Lee, Jong Bum Choi, Inhee Department of Life Science University of Seoul Seoul02504 Korea Republic of Department of Chemical Engineering University of Seoul Seoul02504 Korea Republic of Department of Biomedical Engineering Korea University Seoul02481 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02481 Korea Republic of Exopert Corporation Seoul02580 Korea Republic of Department of Applied Chemistry University of Seoul Seoul02504 Korea Republic of

Surface-enhanced Raman scattering (SERS) has been extensively applied to detect complex analytes due to its ability to enhance the fingerprint signals of molecules around nanostructured metallic surfaces. Thus, it is essential to design SERS-active nanostructures with abundant electromagnetic hotspots in a probed volume according to the dimensions of the analytes, as the analytes must be located in their hotspots for maximum signal enhancement. Herein, we demonstrate a simple method for detecting robust SERS signals from multi-scaled bioanalytes, regardless of their dimensions in the liquid state, through a photothermally driven co-assembly with colloidal plasmonic nanoparticles as signal enhancers. Under resonant light illumination, plasmonic nanoparticles and analytes in the solution quickly assemble at the focused surface area by convective movements induced by the photothermal heating of the plasmonic nanoparticles without any surface modification. Such collective assemblies of plasmonic nanoparticles and analytes were optimized by varying the optical density and surface charge of the nanoparticles, the viscosity of the solvent, and the light illumination time to maximize the SERS signals. Using these light-induced co-assemblies, the intrinsic SERS signals of small biomolecules can be detected down to nanomolar concentrations based on their fingerprint spectra. Furthermore, large-sized biomarkers, such as viruses and exosomes, were successfully detected without labels, and the complexity of the collected spectra was statistically analyzed using t-distributed stochastic neighbor embedding combined with support vector machine (t-SNE+SVM). The proposed method is expected to provide a robust and convenient method to sensitively detect biologically and environmentally relevant analytes at multiple scales in liquid samples. © 2024, The Authors. All rights reserved.

关键词： Viruses

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Caco-2 Cell-Derived Biomimetic Electrochemical Biosensor for Cholera Toxin Detection

SSRN

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SSRN 2022年

作者： Kim, Yonghwan Lee, Dongtak Seo, Youngjun Jung, Hyo Gi Jang, Jae Won Park, Dongsung Kim, Insu Lee, Gyudo Hwang, Kyo Seon Kim, Seung-Hyun Lee, Sang Won Lee, Jeong Hoon Yoon, Dae Sung School of Biomedical Engineering Korea University Seoul02841 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02841 Korea Republic of Department of Clinical Pharmacology and Therapeutics College of Medicine Kyung Hee University Seoul02447 Korea Republic of Department of Biotechnology and Bioinformatics Korea University Sejong30019 Korea Republic of Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong30019 Korea Republic of School of Engineering Brown University ProvidenceRI02912 United States Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States Department of Electrical Engineering Kwangwoon University Seoul01897 Korea Republic of Astrion Inc Seoul02841 Korea Republic of

Cholera is a highly contagious and lethal waterborne disease induced by an infection with Vibrio cholerae (V. cholerae) secreting cholera toxin (CTx). Cholera toxin subunit B (CTxB) from the CTx specifically binds with monosialo-tetra-hexosyl-ganglioside (GM1) found on the exterior cell membrane of an enterocyte. Owing to the pathological process of CTx, a biomimetic electrochemical biosensor (CCB) was developed by applying GM1-expressing Caco-2 cell membrane (CCM) on the electrode surface of the biosensor for CTx detection. Briefly, the electrode surface was functionalized with CCM using the vesicle fusion method. The specific binding between GM1 and CTxB on the electrode surface was verified using confocal laser scanning microscopy and atomic force microscopy. The CTxB detection performances of the CCB, including sensitivity, selectivity, and long-term stability, were determined using electrochemical impedance spectroscopy (EIS). Based on the results, the CCB had an excellent limit of detection of ~11.46 nM and a detection range spanning 100 ng/mL - 1 mg/mL. Further, the CCB had high selectivity for the CTxB compared to different interfering molecules, which are abundant constituents of intestinal fluid and fecal matter in the human body. The long-term stability of the CCBs was also verified for 3 weeks using EIS. Overall, the CCB was found to have an excellent potential for application to point-of-care and cost-effective testing for CTxB detection in developing countries. © 2022, The Authors. All rights reserved.

关键词： Electrochemical impedance spectroscopy

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