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Wearable continuous diffusion-based skin gas analysis

Nature Communications 2025年第1期16卷 1-15页

作者： Clausen, David Farley, Max Little, Abigail Kasper, Kevin Moreno, Joseph Limesand, Larissa Gutruf, Philipp Department of Biomedical Engineering University of Arizona Tucson 85721 AZ United States Department of Physiology University of Arizona Tucson 85721 AZ United States Department of Electrical and Computer Engineering University of Arizona Tucson 85721 AZ United States Bio5 Institute University of Arizona Tucson 85721 AZ United States Neuroscience Graduate Interdisciplinary Program University of Arizona Tucson 85721 AZ United States

Biophysical signals such as motion and optically acquired hemodynamics represent foundational sensing modalities for wearables. Expansion of this toolset is vital for the progression of digital medicine. Current efforts utilize biofluids such as sweat and interstitial fluid with primarily adhesively mounted sensors that are fundamentally limited by epidermal turnover. A class of potential biomarkers that is largely unexplored are gaseous emissions from the body. In this work, we introduce an approach to capture emission of gas from the skin with a leaky cavity designed to allow for diffusion-based ambient gas exchange with the environment. This approach, coupled with differential measurement of ambient and in-cavity gas concentrations, allows for the real-time analysis of sweat rate, VOCs, and CO₂ while performing everyday tasks. The resulting biosignals are recorded with temporal resolutions that exceed current methodology, providing unparalleled insight into physiological processes without requiring sensor replacement over weeks at a time. © The Author(s) 2025.

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Design of an Fc Mutation to Abrogate Fcγ Receptor Binding Based on Residue Interaction Network Analysis

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ACS Synthetic Biology 2025年第5期14卷 2025 Apr 29页

作者： Jebamani, Petrina Jo, Migyeong Park, Suhyun Kim, Suyeon Jung, Sang Taek Lee, Sun-Gu Wu, Sangwook Department of Chemical Engineering Pusan National University Busan 46241 South Korea Institute of Chemical Processes Seoul National University Seoul 08826 South Korea Department of Chemical and Biological Engineering Seoul National University Seoul 08826 South Korea Department of Physics Pukyong National University Busan 48513 South Korea Interdisciplinary Program for Bioengineering Seoul National University Seoul 08826 South Korea PharmCADD 1102-ho 60 Centum Jungang-ro Haeundae-gu Busan 48059 South Korea Department of Biomedical Sciences Graduate School Korea University Seongbuk-gu Seoul 02841 South Korea BK21 Graduate Program Department of Biomedical Sciences Korea University College of Medicine Seoul 02841 South Korea

Immunoglobulins mediate their immune responses through interactions with Fc γ-receptors (FcγRs) on immune cells, triggering crucial responses such as antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). While enhancing these interactions can be beneficial, in certain therapeutic scenarios, such as cytokine or receptor blockade therapies, it is critical to reduce FcγR binding to avoid adverse immune reactions. This study aims to design negative mutations in the Fc region to reduce Fcγ receptor binding based on the residue interaction network analysis. The mutation sites of Fc were targeted through betweenness centrality analysis, and mutations were designed by focusing on hydrophobic to hydrophilic residue changes. The negative effect of the designed mutants on binding affinity was verified by previous reports and binding experiments. From this study, we identified a new Fc variant candidate (V263(B)D) that lacks a binding affinity for Fcγ receptors. This research highlights a strategic approach for designing Fc mutations that effectively reduce immune activation, which may be valuable in therapeutic contexts, where immune response moderation is crucial. © 2025 American Chemical Society.

关键词： betweenness centrality Fc FcγRIIIa IgG inhibiting mutations residue interaction network analysis

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biomedical data and AI

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Science China Life Sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

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Harnessing novel engineered feeder cells expressing activating molecules for optimal expansion of NK cells with potent antitumor activity

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Cellular & Molecular Immunology 2022年第2期19卷 296-298页

作者： Bokyung Min Bitna Yang You-Sun Kim Gyeong Min Park HyunAh Kim Hyojin Kim Eun-Ji Kim Yu Kyeong Hwang Eui-Cheol Shin Sungyoo Cho BioMedical Science and Engineering Interdisciplinary Program KAISTDaejeonKorea Cell Therapy Research Center GC LabCellYonginKorea Laboratory of Immunology and Infectious Diseases Graduate School of Medical Science and EngineeringKAISTDaejeonKorea

Natural killer(NK)cells play an important role in the antitumor immune response as the major cytotoxic lymphocytes in the innate immune *** cells without any genetic modifications have been used for both autologous and allogeneic ***,many reports have suggested that allogeneic NK cells can reduce the recurrence of disease and improve survival through a graft-versus-leukemia effect without GVHD[1,2].

关键词： killer expressing optimal

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Wavelet approach to artifact noise removal from Capacitive coupled Electrocardiograph

Wavelet approach to artifact noise removal from Capacitive c...

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30th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBS'08

作者： Seung, Min Lee Ko, Keun Kim Kwang, Suk Park Interdisciplinary Program of Bioengineering Seoul National University Graduate School Korea Republic of Interdisciplinary Program in Medical and Biological Engineering Seoul National University Graduate School Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of

ISBN: (纸本)9781424418152

Capacitive coupled Electrocardiography (ECG) is introduced as non-invasive measurement technology for ubiquitous health care and appliance are spread out widely. Although it has many merits, however, capacitive coupled ECG is very weak for motion artifacts for its non-skin-contact property. There are many studies for artifact problems which treats all artifact signals below 0.8Hz. In our capacitive coupled ECG measurement system, artifacts exist not only below 0.8Hz but also over than 10Hz. Therefore, artifact noise removal algorithm using wavelet method is tested to reject artifact-wandered signal from measured signals. It is observed that using power calculation each decimation step, artifact-wandered signal is removed as low frequency artifacts as high frequency artifacts. Although some original ECG signal is removed with artifact signal, we could level the signal quality for long term measure which shows the best quality ECG signals as we can get. © 2008 IEEE.

关键词： Electrocardiography

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Artificial neural network-based estimation of the eyeball position using the magnetic contact lens sensing technique

Artificial neural network-based estimation of the eyeball po...

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2005 27th Annual International Conference of the engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Lee, Seung Yup Kim, Keun Young Kim, Hee Chan Interdisciplinary Program-Biomedical Engineering Major Graduate School Seoul National University Seoul Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Seoul Korea Republic of

ISBN: (纸本)0780387406

We have created an artificial neural network based approach for measuring eye movement using a magnetic contact lens sensing technique. The sensor array is based on using four magnetoresistive sensors. A two-layer feed-forward artificial neural network was used and an artificial eyeball model was made for the test. The neural network is trained with sample data obtained from nine spots. After training, we compared the position calculated from the developed system with the real one. The result shows that there is a good linear relationship between them. This indicates the developed system is capable of recording the position of the eyeball with a high degree of accuracy. © 2005 IEEE.

关键词： Contact lenses

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Progress in BazookaSPECT

Progress in BazookaSPECT

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Penetrating Radiation Systems and Applications X

作者： Miller, Brian W. Barber, H. Bradford Furenlid, Lars R. Moore, Stephen K. Barrett, Harrison H. College of Optical Sciences United States Department of Radiology Graduate Interdisciplinary Program In Biomedical Engineering University of Arizona Tucson AZ 85721 United States

ISBN: (纸本)9780819477408

Recent progress on a high-resolution, photon-counting gamma-ray and x-ray imager called BazookaSPECT is presented. BazookaSPECT is an example of a new class of scintillation detectors based on integrating detectors such as CCD(charge-coupled device) or CMOS(complementary metal-oxide semiconductor) sensors. BazookaSPECT is unique in that it makes use of a scintillator in close proximity to a microchannel plate-based image intensifier for up-front optical amplification of scintillation light. We discuss progress made in bringing about compact BazookaSPECT modules and in real-time processing of event data using graphics processing units (GPUs). These advances are being implemented in the design of a high-resolution rodent brain imager called FastSPECT III. A key benefit of up-front optical gain is that any CCD/CMOS sensor can now be utilized for photon counting. We discuss the benefits and feasibility of using CMOS sensors as photon-counting detectors for digital radiography, with application in mammography and computed tomography (CT). We present as an appendix a formal method for comparing various photon-counting integrating detectors using objective statistical criteria. © 2009 SPIE.

关键词： Graphics processing unit

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Meter-scale heterostructure printing for high-toughness fiber electrodes in intelligent digital apparel

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Nature Communications 2025年第1期16卷 1-10页

作者： Lee, Gun-Hee Lee, Yunheum Seo, Hyeonyeob Jo, Kyunghyun Yeo, Jinwook Kim, Semin Bae, Jae-Young Kim, Chul Majidi, Carmel Kang, Jiheong Kang, Seung-Kyun Ryu, Seunghwa Park, Seongjun Medical Research Center Seoul National University Seoul South Korea Departments of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering Pusan National University Busan South Korea Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Program of Brain and Cognitive Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Graduate School of Semiconductor Technology Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Department of Materials Science and Engineering Seoul National University Seoul South Korea Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA United States Department of Chemistry Seoul National University Seoul Seoul South Korea School of Transdisciplinary Innovations Seoul National University Seoul South Korea Department of Biomedical Science College of Medicine Seoul National University Seoul South Korea Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul South Korea Department of Transdisciplinary Medicine Seoul National University Hospital Seoul South Korea

Intelligent digital apparel, which integrates electronic functionalities into clothing, represents the future of healthcare and ubiquitous control in wearable devices. Realizing such apparel necessitates developing meter-scale conductive fibers with high toughness, conductivity, stable conductance under deformation, and mechanical durability. In this study, we present a heterostructure printing method capable of producing meter-scale (~50 m) biphasic conductive fibers that meet these criteria. Our approach involves encapsulating deformable liquid metal particles (LMPs) within a functionalized thermoplastic polyurethane matrix. This encapsulation induces in situ assembly of LMPs during fiber formation, creating a heterostructure that seamlessly integrates the matrix’s durability with the LMPs’ superior electrical performance. Unlike rigid conductive materials, deformable LMPs offer stretchability and toughness with a low gauge factor. Through precise twisting using an engineered annealing machine, multiple fiber strands are transformed into robust, electrically stable meter-scale electrodes. This advancement enhances their practicality in various intelligent digital apparel applications, such as stretchable displays, wearable healthcare systems, and digital controls. © The Author(s) 2025.

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Quantitative measurements of pressure dependent laminar cribrosa microstructure in human eyes

Quantitative measurements of pressure dependent laminar crib...

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ASME 2011 Summer Bioengineering Conference, SBC 2011

作者： Yan, Dongmei Keyes, Joseph T. Vande Geest, Jonathan P. Aerospace and Mechanical Engineering University of Arizona United States Graduate Interdisciplinary Program of Biomedical Engineering University of Arizona United States Biomedical Engineering University of Arizona United States BIO5 Institute University of Arizona United States

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Activity energy expenditure assessment system based on activity classification using multi-site triaxial accelerometers

Activity energy expenditure assessment system based on activ...

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29th Annual International Conference of IEEE-EMBS, engineering in Medicine and Biology Society, EMBC'07

作者： Kim, Dongwoo Kim, Hee Chan Interdisciplinary Program Graduate School Seoul National University Seoul Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Seoul Korea Republic of

ISBN: (纸本)1424407885

Wireless networked multisite triaxial accelerometry system was proposed to estimate activity energy expenditure during daily life. Proposed system used different estimation algorithms according to activity classification based on measured acceleration signals. The estimation results showed higher correlation (R2 = 0.98) and smaller standard errors of estimation (SEE = 0.66 kcal) than any other system in preceding reports. © 2007 IEEE.

关键词： biomedical engineering

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