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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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Characterization, differentiation, and population doubling time of Wharton’s jelly mesenchymal stem cells (WJ-MSCs) in passage 5 and 8

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AIP Conference Proceedings 2021年第1期2344卷

作者： Rizal Rahimi Syaidah Ziyan Muhammad Aqsha Adella Josephin Vidi Miranda Pakpahan 1Biomedical Engineering program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 2Department of Histology Faculty of Medicine Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia 3Undergraduate Program in Biomedical Engineering Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Wharton’s jelly mesenchymal stem cells (WJ-MSCs) is proposed to be the best source of mesenchymal stem cells (MSCs). It has better self-renewal and differentiation capacity compare to adult stem cells such as bone marrow- derived stem cells (BM-MSCs). However, their characteristics in different passages do not yet well described. This research aims to isolate and characterize WJ-MSCs with regard to their proliferation capacity, immunophenotypes, and differentiation capacity. The WJ-MSCs were isolated by the explant method. The cultured WJ-MSCs at P5 and P8 were then characterized using flow cytometric analysis with regard to its surface marker, which are CD44, CD90, CD105, CD73, and negative lineages. The proliferation capacity of WJ-MSCs was analyzed with the population doubling time method and the characterized cells were differentiated into three different lineages. The result revealed that the isolated cells highly express MSCs surface marker with >98% for all surface markers and 0.00% for negative lineages. Isolated WJ-MSCs also exhibited a high proliferation capacity with a range of 1.06 to 1.59 days. Both passages revealed excellent differentiation capacity into chondrocytes, adipocytes, and osteocytes.

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Sequence and phylogenetic analysis of the complete mitochondrial genome for the grey stingfishMinous monodactylus(Scorpaeniformes:Synanceiidae)

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Mitochondrial DNA Part B 2019年第1期4卷 1377-1378页

作者： Hyun-Woo Kim Md. Jobaidul Alam Ah-Ran Kim Hyun Park Sapto Andriyono Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaDepartment of Marine Biology Pukyong National University Busan Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of Korea Korea Polar Research Institute Korea Ocean Research and Development Institute Incheon Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaFisheries and Marine Faculty C Campus Jl. Mulyorejo Universitas Airlangga Surabaya Indonesia

The mitochondrial genome sequence ofMinous monodactylus(16,459 bp) was determined by the MiSeq platform for the first time in the genusMinous. It encoded the 37 genes (13 protein-coding genes, 22 tRNAs, and two ribosomal RNAs) and two conserved noncoding regions; control region (D-loop) and the origin of light strand (OL). Twenty-eight genes were encoded on the heavy (H) strand, while eight tRNAs andND6genes were on the light (L) strand. According to the phylogenetic analysis with other complete mitogenomes from order Scorpaeniformes,M. monodactyluswas clustered withSynanceia verrucosaas familySynanceiidaewith 81% sequence identity.

关键词： Next-generation sequencing Minous monodactylus mitochondrial genome stingfish

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Machine Learning-Based Prediction of Pulmonary Thromboembolism to Reduce Unnecessary Computed Tomography Scans in Gastrointestinal Cancer Patients: A Retrospective Multicenter Study

SSRN

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SSRN 2023年

作者： Kim, Joo Seong Kwon, Doyun Kim, Kyungdo Lee, Sang Hyub Lee, Seung-Bo Kim, Kwangsoo Kim, Dongmin Lee, Min Woo Park, Namyoung Choi, Jin Ho Jang, Eun Sun Cho, In Rae Paik, Woo Hyun Lee, Jun Kyu Ryu, Ji Kon Kim, Yong-Tae Department of Internal Medicine Liver Research Institute Seoul National University Hospital Seoul National University College of Medicine Seoul Korea Republic of Department of Internal Medicine Dongguk University College of Medicine Dongguk University Ilsan Hospital Goyang-si Korea Republic of Interdisciplinary Program of Medical Informatics Seoul National University College of Medicine Seoul Korea Republic of Department of Biomedical Engineering Pratt School of Engineering Duke University DurhamNC27708 United States Transdisciplinary Department of Medicine & Advanced Technology Seoul National University Hospital Seoul Korea Republic of Department of Medicine Seoul National University College of Medicine Seoul Korea Republic of Department of Medical Informatics Keimyung University School of Medicine Daegu Korea Republic of Biomedical Research Institute Seoul National University Hospital Seoul Korea Republic of Department of Medicine Kyung Hee University Gangdong Hospital Seoul Korea Republic of Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea Republic of Department of Internal Medicine Seoul National University Bundang Hospital Seongnam-si Korea Republic of

Background: Pulmonary thromboembolism (PTE) is one of the most important complications in cancer patients. Gastrointestinal cancers entail an increased risk of PTE. However, there were few research on predicting pulmonary embolism using machine learning (ML) in cancer patients. The purpose of this study was to develop an ML based prediction model for PTE in gastrointestinal cancer ***: We conducted a retrospective, multicenter study in which ML model was developed and subsequently internally and externally validated. We reviewed gastrointestinal cancer patients who had undergone computed tomographic pulmonary angiography (CTPA) from 2010 to 2020. Demographic and predictor variables including the Wells score and D-dimer were investigated. The ML model was based on the random forest model. The area under receiver operating curve (AUROC) was used to evaluate the performance of ML ***: 446 patients in hospital A and 139 patients in hospital B were analyzed in this study. The training set comprised 356 patients in hospital A. The ML model was validated both internally (90 patients) and externally (139 patients). AUROC was 0.736 in hospital A and 0.669 in hospital B. The number of patients classified as requiring CTPA was significantly reduced according to the prediction with ML (hospital A;100.0% vs 91.1%, P Conclusion: Prediction model based on ML might have advantages in reducing the number of CTPA compared to the conventional diagnostic strategy for PTE in patients with gastrointestinal cancer. © 2023, The Authors. All rights reserved.

关键词： Hospitals

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Characterization of complete mitochondrial genome and gene organization of sharp-spined notothenia,Trematomus pennellii(Perciformes: Nototheniidae)

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Mitochondrial DNA Part B 2019年第1期4卷 648-649页

作者： Md. Jobaidul Alam Jeong-Hoon Kim Sapto Andriyono Ji-Hyun Lee Soo Rin Lee Hyun Park Hyun-Woo Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of Korea Korea Polar Research Institute Korea Ocean Research and Development Institute Incheon Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaFisheries and Marine Faculty Universitas Airlangga Surabaya East Java Indonesia Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaDepartment of Marine Biology Pukyong National University Busan Republic of Korea

The complete mitochondrial genome ofTrematomus pennelliiwas determined by MiSeq platform. The mitogenome ofT. pennelliiwas 15,976 bp in length and encoded 37 genes (13 proteins, 22 tRNAs, 2 ribosomal RNAs) and a non-coding control region (D-Loop). Overall A + T contents (54.10%) in the mitogenome was higher than G + C contents (45.90%). Twenty-nine genes were located on H strand, whereas eight genes were identified on L strand. Among 13 protein-coding genes, unusual start codons were identified inCOX1(GTG),ND6(ATT),COX2(ATC), andATP6(ATC). The incomplete stop codon (T–) was identified in six genes includingCOXII,COXIII,NAD2,NAD3,NAD4, andCytb. The phylogenetic tree of complete genome indicated thatTrematomus pennelliiwas most closely related toTrematomus bernacchiiwith 91.65% DNA sequence identity.

关键词： Next generation sequencing Trematomus pennellii mitochondrial genome Antarctica Notothenioidei

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Investigating the Antimicrobial Activity of Vancomycin-Loaded Soy Protein Nanoparticles

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interdisciplinary Perspectives on Infectious Diseases 2022年第0期2022卷 5709999页

作者： Zare-Zardini, Hadi Soltaninejad, Hossein Ghorani-Azam, Adel Forouzani-Moghaddam, Mohammad Javad Mozafri, Sima Akhoundi-Meybodi, Zohreh Ferdosian, Farzad Jabinian, Fatemeh Department of Biomedical Engineering Meybod University Meybod Iran Hematology and Oncology Research Center Shahid Sadoughi University of Medical Sciences Yazd Iran Medical Nanotechnology & Tissue Engineering Research Center Yazd Reproductive Sciences Institute Shahid Sadoughi University of Medical Sciences Yazd Iran Faculty of Interdisciplinary Science and Technology Tarbiat Modares University Tehran Iran Department of Forensic Medicine and Toxicology School of Medicine Urmia University of Medical Sciences Urmia Iran School of Paramedical Iran University of Medical Sciences Tehran Iran Department of Operating Room and Anesthesiology School of Allied Medical Sciences Tehran Iran

Developing targeted and slow-release antibiotic delivery systems can effectively reduce drug overdose and side effects. This study aimed to investigate the antimicrobial activity of vancomycin-loaded soy protein nanoparticles (vancomycin-SPNs). For the preparation of SPNs, the desolvation method was applied in different concentrations of vancomycin and soy protein (15:5, 10:15, 6:20, 8:25, and 10:30 of vancomycin:soy protein). Scanning electron microscope (SEM), transmission electron microscopy (TEM), dynamic light scattering (DLS), and FTIR were used for nanoparticle characterization. Antibacterial activity was evaluated by the radial diffusion assay (RDA) and absorbance methods. Proper synthesis was demonstrated by characterization. The best drug loading (% entrapment efficiency = 90.2%), the fastest release rate (% release = 88.2%), and the best antibacterial activity were observed in ratio 10:30 of vancomycin:SPNs. Results showed that SPNs are a potent delivery system for antibiotic loading and slow release to control antibiotic use. © 2022 Hadi Zare-Zardini et al.

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Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study

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NPJ digital medicine 2025年第1期8卷 5页

作者： Rohit Singla Nikola Pupic Seyed-Aryan Ghaffarizadeh Caroline Kim Ricky Hu Bruce B Forster Ilker Hacihaliloglu MD/PhD Program Faculty of Medicine University of British Columbia Vancouver BC Canada. rsingla@ece.ubc.ca. School of Biomedical Engineering University of British Columbia Vancouver BC Canada. rsingla@ece.ubc.ca. MD Undergraduate Program Faculty of Medicine University of British Columbia Vancouver BC Canada. Department of Medicine University of British Columbia Vancouver BC Canada. Department of Radiology University of British Columbia Vancouver BC Canada.

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engineering osteoblastic metastases to delineate the adaptive response of androgen-deprived prostate cancer in the bone metastatic microenvironment

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Bone Research 2019年第2期7卷 157-170页

作者： Nathalie Bock Ali Shokoohmand Thomas Kryza Joan Rohl Jonelle Meijer Phong A. Tran Colleen C. Nelson Judith A. Clements Dietmar W. Hutmacher School of Biomedical Sciences Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q)Institute of Health and Biomedical Innovation (IHBI)Queensland University of Technology (QUT)BrisbaneQLD 4000Australia Translational Research Institute (TRI) WoolloongabbaQLD 4102Australia Centre in Regenerative Medicine QUTKelvin GroveQLD 4059Australia Bone and Joint Disorders Program School of ChemistryPhysics and Mechanical EngineeringScience and Engineering Faculty (SEF)QUTBrisbaneQLD 4000Australia Australian Research Council (ARC) Training Centre in Additive Biomanufacturing QUTKelvin GroveQLD 4059Australia

While stromal interactions are essential in cancer adaptation to hormonal therapies,the effects of bone stroma and androgen deprivation on cancer progression in bone are poorly ***,we tissue-engineered and validated an in vitro microtissue model of osteoblastic bone metastases,and used it to study the effects of androgen deprivation in this *** model was established by culturing primary human osteoprogenitor cells on melt electrowritten polymer scaffolds,leading to a mineralized osteoblast-derived microtissue containing,in a 3D setting,viable osteoblastic cells,osteocytic cells,and appropriate expression of osteoblast/osteocyte-derived mRNA and proteins,and mineral *** co-culture of androgen receptordependent/ independent cell lines (LNCaP,C4-2B,and PC3) led cancer cells to display functional and molecular features as observed in ***-cultured cancer cells showed increased affinity to the microtissues,as a function of their bone metastatic *** led to alkaline phosphatase and collagen-I upregulation and sclerostin downregulation,consistent with the clinical marker profile of osteoblastic bone *** showed a significant adaptive response under androgen deprivation in the microtissues,with the notable appearance of neuroendocrine transdifferentiation features and increased expression of related markers (dopa decarboxylase,enolase 2).Androgen deprivation affected the biology of the metastatic microenvironment with stronger upregulation of androgen receptor,alkaline phosphatase,and dopa decarboxylase,as seen in the transition towards *** unique microtissues engineered here represent a substantial asset to determine the involvement of the human bone microenvironment in prostate cancer progression and response to a therapeutic context in this microenvironment.

关键词： engineering osteoblastic metastases the adaptive response metastatic microenvironment

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Disaster Robot Navigation using Behavior-based Systems 3

Disaster Robot Navigation using Behavior-based Systems

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3rd International Conference on Applied Science and Technology, iCAST 2020

作者： Kuswadi, Son Tamara, Mohamad Nasyir Brahmantio, Bagoes Taufiq Sugiharto, Debynata Mohammad, N.U.H. Mechatronic Study Program Machanical and Energy Department Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Mechatronic Study Program Machanical and Energy Department Politeknik Negeri Banyuwangi Banyuwangi Indonesia PT Prima Nurjwan Samudera Indonesia Group Jakarta Indonesia PT Pabrik Kertas Tjiwi Kimia APP Sinar Mas Group Sidoarjo Indonesia Biomedical Engineering Department Faculty of Inteliigent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728195674

In a natural disaster, it is often necessary to have an autonomous system capable of moving in an irregular and unpredictable area. This paper proposes a robot that is mechanically capable of moving in a disaster area and equipped with a navigation using behavior-based systems. Its mechanical, electronic and computing systems are described. The development of the primitive behavior that has been made is explained in detail. Several experiments have been carried out to show the performance of the proposed robotic systems. © 2020 IEEE.

关键词： Disasters

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DNA origami technology for biomedical applications: Challenges and opportunities

MedComm - Biomaterials and Applications

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MedComm - Biomaterials and Applications 2023年第2期2卷

作者： Li, Ling Nie, Shihong Du, Ting Zhao, Jiaxuan Chen, Xiaoyuan West China School of Public Health West China Fourth Hospital and State Key Laboratory of Biotherapy Sichuan University Chengdu China Department of Radiation Oncology Cancer Center West China Hospital Sichuan University Chengdu China Non-coding RNA and Drug Discovery Key Laboratory of Sichuan Province Chengdu Medical College Chengdu 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 Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore Nanomedicine Translational Research Program NUS Center for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research (A*STAR) Singapore Singapore

DNA origami, a promising branch of structural DNA technology, refers to the technique of folding a single-stranded DNA scaffold into well-defined nanostructures. In recent years, DNA origami nanostructures have shown considerable promise in a variety of biomedical applications, owing to their biodegradability, unique programmability, and addressability. Despite their popularity, the biomedical application of DNA origami techniques, which exploits their unique programmability and addressability, is rare in previous studies. Most recently, mounting evidence has demonstrated the robustness of DNA origami nanostructures in the spatial organization of functional components at the nanoscale in the biomedical field. These examples provide typical paradigms to fully realize the potential of DNA origami techniques by taking advantage of their unique programmability and addressability. This minireview summarizes the recent advancements of DNA origami techniques in biosensing, biocatalysis, and drug delivery, and the representative examples using DNA origami nanostructures for the spatial organization of functional molecules with nanometric precision are highlighted. We further discuss the possible limitations and challenges for in vivo applications, including stability issues and potential immunogenicity, and finally, propose some strategies to overcome these obstacles to fully realize the potential of DNA origami techniques in biomedical applications. © 2023 The Authors. MedComm – Biomaterials and Applications published by John Wiley & Sons Australia, Ltd on behalf of Sichuan International Medical Exchange & Promotion Association (SCIMEA).

关键词： biocatalysis biosensing DNA nanotechnology DNA origami

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