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arXiv 2019年

作者： Lee, Wangjin Park, Hyeryun Yoon, Jooyoung Kim, Kyeongmo Choi, Jinwook Interdisciplinary Program in Bioengineering Graduate School Seoul National University Department of Biomedical Engineering College of Medicine Seoul National University

With a neural sequence generation model, this study aims to develop a method of writing the patient clinical texts given a brief medical history. As a proof-of-a-concept, we have demonstrated that it can be workable to use medical concept embedding in clinical text generation. Our model was based on the Sequence-to-Sequence architecture and trained with a large set of de-identified clinical text data. The quantitative result shows that our concept embedding method decreased the perplexity of the baseline architecture. Also, we discuss the analyzed results from a human evaluation performed by medical doctors. Copyright © 2019, The Authors. All rights reserved.

关键词： Embeddings

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Corrigendum to 'Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition' [Computer Methods and programs in Biomedicine 184 (2020) 105120]

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Computer methods and programs in biomedicine 2021年 198卷 105785页

作者： Jia Liu Chi Zhang Yongjie Zhu Tapani Ristaniemi Tiina Parviainen Fengyu Cong School of Biomedical Engineering Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China Faculty of Information Technology University of Jyvaskyla Jyvaskyla 40014 Finland. School of Biomedical Engineering Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China. Centre for Interdisciplinary Brain Research Department of Psychology Faculty of Education and Psychology University of Jyvaskyla Jyvaskyla 40014 Finland. Faculty of Information Technology University of Jyvaskyla Jyvaskyla 40014 Finland. Electronic address: cong@***.

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The regulation of cancer-associated thrombosis by podoplanin

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Thrombosis Update 2024年 15卷 100174-100174页

作者： Gupta, Neha Saifi, Mohd Faiz Wilson, Kiesha Hisada, Yohei Evans, Colin E. Department of Biosciences Faculty of Natural Sciences Jamia Millia Islamia New Delhi India Department of Gastroenterology and Human Nutrition Unit All India Institute of Medical Sciences New Delhi India Department of Pathology Microbiology and Immunology University of South Carolina School of Medicine Columbia SC United States Division of Hematology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill NC United States UNC Blood Research Center University of North Carolina at Chapel Hill Chapel Hill NC United States Department of Cell Biology and Anatomy University of South Carolina School of Medicine Columbia SC United States Cardiovascular Translational Research Center University of South Carolina Columbia SC United States Institute on Cardiovascular Disease Research University of South Carolina Columbia United States Biomedical Engineering Program College of Engineering and Computing University of South Carolina Columbia SC United States

The incidence of venous thromboembolism (VTE) in cancer patients is 4–9 fold higher compared with the general population. The mortality rate of patients with cancer and VTE is more than 2-fold greater versus cancer patients without VTE. Given that the pathophysiology of thrombosis in cancer is multi-faceted, investigations of the mechanisms that regulate cancer-associated thrombosis (CAT) could improve the understanding and treatment of CAT. These mechanisms include activation of the coagulation and fibrinolytic systems. Tumor cells activate coagulation by expressing procoagulant molecules, releasing pro-inflammatory and pro-angiogenic cytokines, and adhering to vascular and blood cells. Tumor-secreted and tissue factor-positive extracellular vesicles are another major driver of CAT, while emerging studies have discovered a role for podoplanin (PDPN) in intratumoral thrombosis, hyper-coagulation, and enhanced VTE risk. In this article, we will review studies of PDPN in CAT, which together suggest that PDPN contributes not only to cancer progression and metastasis, but also to CAT. PDPN may therefore represent an attractive putative target for therapies that aim to simultaneously reduce cancer progression and associated VTE. © 2024 The Authors

关键词： Cancer-associated thrombosis Podoplanin Thrombosis

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Structural basis and synergism of ATP and Na⁺ activation in bacterial K⁺ uptake system KtrAB

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Nature Communications 2024年第1期15卷 3850页

作者： Chiang, Wesley Tien Chang, Yao-Kai Hui, Wei-Han Chang, Shu-Wei Liao, Chen-Yi Chang, Yi-Chuan Chen, Chun-Jung Wang, Wei-Chen Lai, Chien-Chen Wang, Chun-Hsiung Luo, Siou-Ying Huang, Ya-Ping Chou, Shan-Ho Horng, Tzyy-Leng Hou, Ming-Hon Muench, Stephen P. Chen, Ren-Shiang Tsai, Ming-Daw Hu, Nien-Jen Graduate Institute of Biochemistry National Chung Hsing University Taichung 402202 Taiwan Institute of Biological Chemistry Academia Sinica Taipei 115201 Taiwan Department of Civil Engineering National Taiwan University Taipei 106319 Taiwan Department of Biomedical Engineering National Taiwan University Taipei 10663 Taiwan Life Science Group Scientific Research Division National Synchrotron Radiation Research Center Hsinchu 30092 Taiwan Institute of Molecular Biology National Chung Hsing University Taichung 402202 Taiwan Graduate Institute of Chinese Medical Science China Medical University Taichung 406040 Taiwan Department of Applied Mathematics Feng Chia University Taichung 407102 Taiwan Institute of Genomics and Bioinformatics National Chung Hsing University Taichung 402202 Taiwan School of Biomedical Sciences Faculty of Biological Sciences and the Astbury Centre for Structural Molecular Biology University of Leeds Leeds LS2 9JT United Kingdom Department of Life Science Tunghai University Taichung 407224 Taiwan Institute of Biochemical Sciences National Taiwan University Taipei 106319 Taiwan Ph.D Program in Translational Medicine National Chung Hsing University Taichung 402202 Taiwan

The K+ uptake system KtrAB is essential for bacterial survival in low K+ environments. The activity of KtrAB is regulated by nucleotides and Na+. Previous studies proposed a putative gating mechanism of KtrB regulated...

The K⁺ uptake system KtrAB is essential for bacterial survival in low K⁺ environments. The activity of KtrAB is regulated by nucleotides and Na⁺. Previous studies proposed a putative gating mechanism of KtrB regulated by KtrA upon binding to ATP or ADP. However, how Na⁺ activates KtrAB and the Na⁺ binding site remain unknown. Here we present the cryo-EM structures of ATP- and ADP-bound KtrAB from Bacillus subtilis (BsKtrAB) both solved at 2.8 Å. A cryo-EM density at the intra-dimer interface of ATP-KtrA was identified as Na⁺, as supported by X-ray crystallography and ICP-MS. Thermostability assays and functional studies demonstrated that Na⁺ binding stabilizes the ATP-bound BsKtrAB complex and enhances its K⁺ flux activity. Comparing ATP- and ADP-BsKtrAB structures suggests that BsKtrB Arg417 and Phe91 serve as a channel gate. The synergism of ATP and Na⁺ in activating BsKtrAB is likely applicable to Na⁺-activated K⁺ channels in central nervous system. © The Author(s) 2024.

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Transdermally administered nanozymes-infused F127/methylcellulose hydrogel for osteoarthritis relief via immunomodulatory pathways

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International Journal of Biological Macromolecules 2025年 314卷 144114页

作者： Chen, Chih-Kuang Chiu, Hui-Wen Nguyen, Hieu Trung Lu, Hsien-Tsung Chuang, Andrew E.-Y. Graduate Institute of Clinical Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Physical Medicine and Rehabilitation Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan School of Medicine Chang Gung University Taoyuan Taiwan Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City700000 Viet Nam Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Orthopedic Taipei Medical University Hospital Taipei City11031 Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei11696 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City235603 Taiwan

Osteoarthritis (OA) is a debilitating condition characterized by chronic inflammation, oxidative stress, hypoxia, angiogenesis-driven pain, and cartilage degradation, thus presenting significant therapeutic challenges. Herein, we introduce a wearable percutaneous hydrogel (Pluronic F127/methylcellulose) encapsulation platform, designed to address the multifaceted pathology of OA through a synergistic integration of multifunctional components. This nanomedicine-hydrogel system incorporates platelet-derived extracellular vesicles (pEVs) for inflammation delivery, phototherapeutic molybdenum disulfide (MoS2), capsaicin (CAP) and diferuloylmethane (DIF) for potent anti-inflammatory and antioxidative effects and hydrogen-bonded organic frameworks (HOFs) to enhance drug encapsulation and conductivity. Experimental findings demonstrated the pEV/MoS2/DIF/CAP NZHOF@F127/MC's ability to mitigate inflammation by promoting macrophage polarization from the M1 to the M2 phenotype, alleviate oxidative stress, inhibit angiogenesis, and modulate hypoxic microenvironments through the percutaneous phototherapeutic pEV/MoS2/DIF/CAP NZ-HOF@F127/MC. In vivo studies in a rat model of OA revealed substantial reductions in joint inflammation, enhanced cartilage regeneration, and improved mobility following near-infrared (NIR)-triggered phototherapy. The pEV/MoS2/DIF/CAP NZ-HOF@F127/MC's multifaceted mechanisms, including precise drug delivery, controlled release, and on-demand photo-responsiveness, underscore its transformative potential for OA management. These findings present a promising therapeutic strategy for OA, addressing inflammation, oxidative stress, and joint lesion mitigation, with strong potential for clinical translation. © 2025 Elsevier B.V.

关键词： Controlled drug delivery

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A “Self-Checking” pH/Viscosity-Activatable NIR-II Molecule for Real-Time Evaluation of Photothermal Therapy Efficacy

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Angewandte Chemie 2022年第16期134卷

作者： Dr. Benhao Li Hengke Liu Yaling He Dr. Mengyao Zhao Chen Ge Dr. Muhammad Rizwan Younis Prof. Peng Huang Prof. Xiaoyuan Chen Prof. Jing Lin Marshall Laboratory of Biomedical Engineering International Cancer Center Laboratory of Evolutionary Theranostics (LET) School of Biomedical Engineering Shenzhen University Health Science Center Shenzhen 518060 China Departments of Diagnostic Radiology Surgery Chemical and Biomolecular Engineering and Biomedical Engineering Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 119074 Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore Nanomedicine Translational Research Program NUS Center for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore

We present a second near-infrared (NIR-II) self-checking molecule, LET-1052, for acidic tumor microenvironment (TME) turn-on photothermal therapy (PTT), followed by viscosity based therapeutic efficacy evaluation by itself in two independent channels, denoted as “self-checking” strategy. In acidic TME, LET-1052 was protonated and turned on NIR-II absorption for PTT under 1064 nm laser irradiation. Subsequently, PTT-induced cellular death increases intracellular viscosity, which inhibited the intramolecular rotation of LET-1052, resulting in the enhancement of NIR-I fluorescence for real-time evaluation of PTT efficacy. After PTT of tumor-bearing mice for different periods of NIR-II laser irradiation, NIR-I fluorescence in the tumor region showed positive correlation with tumor growth inhibition rate, demonstrating reliable and prompt prediction of PTT efficacy. The strategy may be expanded for instant evaluation of other therapeutic modalities for personalized medicine.

关键词： Dyes Evaluate Efficacy Second Near-Infrared Window Tumour Therapy

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An Efficient Near-Infrared Emissive Artificial Supramolecular Light-Harvesting System for Imaging in the Golgi Apparatus

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Advanced Materials 2020年第26期132卷 10579-10583页

作者： Chen, Xu-Man Cao, Qin Bisoyi, Hari Krishna Wang, Meng Yang, Hong Li, Quan Institute of Advanced Materials School of Chemistry and Chemical Engineering Jiangsu Province Hi-Tech Key Laboratory for Biomedical Research State Key Laboratory of Bioelectronics Southeast University Nanjing211189 China Advanced Materials and Liquid Crystal Institute and Chemical Physics Interdisciplinary Program Kent State University KentOH44242 United States

Light-harvesting systems are an important way for capturing, transferring and utilizing light energy. It remains a key challenge to develop highly efficient artificial lightharvesting systems. Herein, we report a supramolecular coassembly based on lower-rim dodecyl-modified sulfonatocalix-[4]arene (SC4AD) and naphthyl-1,8-diphenyl pyridinium derivative (NPS) as a light-harvesting platform. NPS as a donor shows significant aggregation induced emission enhancement (AIEE) after assembling with SC4AD. Upon introduction of Nile blue (NiB) as an acceptor into the NPSSC4AD co-assembly, the light-harvesting system becomes near-infrared (NIR) emissive (675 nm). Importantly, the NIR emitting NPS-SC4AD-NiB system exhibits an ultrahigh antenna effect (33.1) at a high donor/acceptor ratio (250:1). By co-staining PC-3 cells with a Golgi staining reagent, NBD C6-ceramide, NIR imaging in the Golgi apparatus has been demonstrated using these NIR emissive nanoparticles. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： Antennas

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A Reflection on Teaching Design Thinking to First-Year engineering Students

A Reflection on Teaching Design Thinking to First-Year Engin...

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IEEE International Conference on Teaching, Assessment and Learning for engineering (TALE)

作者： Kuntinee Maneeratana Ratchatin Chancharoen Peerapat Thongnuek Potcharawan Sukmuen Chamaiporn Inkaew Praweenya Suwannatthachote Department of Mechanical Engineering Chulalongkorn University Bangkok Thailand Interdisciplinary Program of Biomedical Engineering Chulalongkorn University Thailand Department of Educational Communication and Technology Chulalongkorn University Thailand

The following topics are dealt with: computer aided instruction; educational courses; teaching; educational institutions; computer science education; further education; engineering education; learning (artificial inte... 详细信息

ISBN: (数字)9781728126654

ISBN: (纸本)9781728126661

关键词： Conferences Prototypes engineering students Interviews Product design Manufacturing

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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Correction to: Biological synthesis and characterization of iron oxide (FeO) nanoparticles using Pleurotus citrinopileatus extract and its biomedical applications

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Biomass Conversion and Biorefinery 2023年第11期14卷 12587-12587页

作者： Manimaran, Kumar Yanto, Dede Heri Yuli Govindasamy, Mani Karunanithi, Bogeshwaran Alasmary, Fatmah Ali Habab, Reem Abdulrahman Research Center for Applied Microbiology National Research and Innovation Agency (BRIN) Cibinong Republic of Indonesia Department of Product Development Institute of Biotechnology Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India Faculty International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan Korea University Seongbuk-gu Republic of Korea Department of Research and Innovation Saveetha School of Engineering SIMATS Thandalam India Department of Petroleum Engineering Dhaanish Ahmed College of Engineering Chennai India Department of Chemistry College of Science King Saud University Riyadh Saudi Arabia

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