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3D printing for the future of medicine

Journal of 3D Printing in Medicine 2020年第1期4卷 45-67页

作者： Hadisi, Zhina Walsh, Tavia Hossein Dabiri, Seyed Mohammad Seyfoori, Amir Godeau, Brent Charest, Gabriel Fortin, David Akbari, Mohsen Laboratory for Innovation in Microengineering (LiME) Department of Mechanical Engineering University of Victoria 3800 Finnerty Rd Victoria V8P 5C2 BC Canada Department of Surgery-Neurosurgery Université de Sherbrooke Sherbrooke J1H 5N4 Canada Center for Biomedical Research (CBR) University of Victoria Victoria V8P 5C2 Canada Center for Advanced Materials and Related Technology (CAMTEC) University of Victoria Victoria V8W 2Y2 Canada

3D printing is an additive manufacturing method that involves successive deposition of layers of materials to create a construct from a digital model. 3D-printing technologies have widespread applications in medicine and are increasingly used for solving a wide variety of medical problems. In this review, we summarize existing 3D-printing technologies and explore recent advances in the development and characterization of bioinks and biomaterial inks. We will then explain characterization methods for determining the rheological and mechanical properties of printing inks and 3D-printed constructs using invasive and noninvasive methods. Lastly, four core uses in recent innovations in medicine, including tissue and organoid engineering, disease modeling, drug delivery, biosensing, patient-specific implants and challenges along with future prospects will be discussed. © 2020 Future Medicine Ltd.

关键词： 3D bioprinting biosensors disease models high-throughput drug screening tissue engineering

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Precise Synthesis of Hollow Mesoporous Palladium–Sulfur Alloy Nanoparticles for Selective Catalytic Hydrogenation

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CCS Chemistry 2022年第8期4卷 2854-2863页

作者： Hao Lv Lizhi Sun Dongdong Xu Wei Li Bolong Huang Ben Liu Key Laboratory of Green Chemistry and Technology of Ministry of Education College of ChemistrySichuan UniversityChengdu 610064 Jiangsu Key Laboratory of New Power Batteries Jiangsu Collaborative Innovation Center of Biomedical Functional MaterialsSchool of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023 Department of Chemistry Laboratory of Advanced MaterialsShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsiChEM and State Key Laboratory of Molecular Engineering of PolymersFudan UniversityShanghai 200433 Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SAR 999077

Hollow mesoporous metals have unique potential for catalysis,but their precise synthesis and further elaboration of their structure–performance relationships are still huge ***,wereport a new synthetic strategy,named the Kirkendall effect in synergistic template(KEST),for the desired preparation of hollow mesoporous palladium–sulfur(h-mesoPdS)alloy nanoparticles.

关键词： mesoporous material hollow cavity palladium hydrogenation selective catalysis

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Cellular Mechanics in Local Invasion and Persistent Migration of Tumor Cells Via Matrix Fiber Re-Alignment and Deformation

SSRN

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SSRN 2024年

作者： Meng, Jiangfeng Xu, Xiangyu Jiang, Chaohui Xia, Peng Xu, Pengfei Tian, Liangfei Xu, Yingke Li, Dechang Tan, Youhua Ji, Baohua Institute of Biomechanics and Applications Department of Engineering Mechanics Zhejiang University Hangzhou310027 China Wenzhou Institute University of Chinese Academy of Sciences Wenzhou325001 China Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical Engineering Beihang University Beijing100083 China Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology Life science Institute Zhejiang University Hangzhou310058 China School of Medicine Zhejiang University Hangzhou310058 China MOE Key Laboratory of Biomedical Engineering Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal Department of Biomedical Engineering Zhejiang University Hangzhou310027 China Department of Biomedical Engineering The HongKong Polytechnic University Hong Kong

Cancer metastasis starts from early local invasion, during which tumor cells detach from the primary tumor, penetrate the extracellular matrix (ECM), and then invade neighboring tissues. However, the cellular mechanics in the detaching and penetrating processes have not been fully understood, and the underlying mechanisms that influence cell polarization and migration in the 3D matrix during tumor invasion remain largely unknown. In this study, we employed a dual tumor-spheroids model to investigate the cellular mechanisms of the tumor invasion. Our results revealed that the tensional force field developed by the active contraction of cells and tissue plays pivotal roles in tumor invasion, acting as the driving force for remodeling the collagen fibers during the invasion process. The remodeled collagen fibers promoted cell polarization and migration because of stiffening of the fiber matrix. The aligned fibers facilitated tumor cell invasion and directed migration from one spheroid to the other. Inhibiting/shielding the cellular contractility abolished matrix remodeling and re-alignment and significantly decreased tumor cell invasion. By developing a coarse-grained cell model that considers the mutual interaction between cells and fibers, we predicted the tensional force field in the fiber network and the associated cell polarization and cell-matrix interaction during cell invasion. Our study highlights the roles of cellular mechanics at the early stage of tumor metastasis, and may provide new therapeutic strategies for cancer therapy. © 2024, The Authors. All rights reserved.

关键词： Fibers

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Mechanical, Optical and Microstructural Properties of Bi2O3-ZnO-TeO2 Glasses

Mechanical, Optical and Microstructural Properties of Bi2O3-...

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The 24th International Conference on Glass( ICG Congress 2016 Shanghai) (第24届国际玻璃大会)

作者： I.Kabalcil J.Zheng L.Wang L.Tan Y.Xue Z.Zhang M.Peng Department of Biomedical Engineering Engineering Faculty Karabük University Karabük Turkey The China-Germany Research Center for Photonics Materials and Devices The State Key Laboratory of Luminescence Materials and Devices School of Materials Science and Engineering South China University of Technology Guangzhou 510641 China

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Performance analysis of gravity-balanced serial robotic manipulators under dynamic loads

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Mechanism and Machine Theory 2024年 191卷

作者： Nguyen, Vu Linh Kuo, Chin-Hsing Lin, Po Ting College of Engineering and Computer Science VinUniversity Vinhomes Ocean Park Hanoi Gia Lam Viet Nam School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong WollongongNSW2522 Australia Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei Taiwan Intelligent Manufacturing Innovation Center National Taiwan University of Science and Technology Taipei Taiwan

This paper presents a method for analyzing the performance of gravity-balanced serial robotic manipulators under dynamic loads. The analysis is executed by adopting torque, power, and energy reduction indices, which are formulated from unbalanced and balanced states. The significance of this method is that it can provide a comprehensive evaluation of the performance of a gravity-balanced robotic manipulator, with consideration of the dynamic effects. This paper uses a three-degree-of-freedom planar serial manipulator as a case study. The gravity-balanced design for the manipulator is realized by installing a compact gear-spring module onto each link. A numerical example of a manipulator shows that dynamic loads degrade the gravity-balanced performance, especially in situations with a high velocity and acceleration or a considerable variation of the unbalanced static load. Moreover, this work also proposes a level-to-level design procedure to improve the gravity-balanced performance of the manipulator under dynamic loads. The effectiveness of this procedure is demonstrated via two operation examples: one with a high velocity and acceleration and the other with a large unbalanced load. © 2023 Elsevier Ltd

关键词： Dynamic loads

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MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles

arXiv

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arXiv 2024年

作者： Kobeissi, Hiba Gao, Xining DePalma, Samuel J. Ewoldt, Jourdan K. Wang, Miranda C. Das, Shoshana L. Jilberto, Javiera Nordsletten, David Baker, Brendon M. Chen, Christopher S. Lejeune, Emma Department of Mechanical Engineering Center for Multiscale and Translational Mechanobiology Boston University BostonMA United States Department of Biomedical Engineering Boston University BostonMA United States Institute for Medical Engineering and Science Harvard–MIT Division of Health Sciences and Technology CambridgeMA United States Wyss Institute for Biologically Inspired Engineering BostonMA United States Department of Biomedical Engineering University of Michigan–Ann Arbor Ann ArborMI United States Department of Cardiac Surgery University of Michigan–Ann Arbor Ann ArborMI United States School of Imaging Sciences and Biomedical Engineering King’s Health Partners King's College London London United Kingdom

Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. However, extracting these data in a reproducible and high-throughput manner remains a major challenge. Furthermore, it is not straightforward to make direct quantitative comparisons across the multiple in vitro experimental platforms employed to fabricate these tissues. Here, we present "MicroBundlePillarTrack," an open-source optical flow-based package developed in Python to track the deflection of pillars in cardiac microbundles grown on experimental platforms with two different pillar designs ("Type 1" and "Type 2" design). Our software is able to automatically segment the pillars, track their displacements, and output time-dependent metrics for contractility analysis, including beating amplitude and rate, contractile force, and tissue stress. Because this software is fully automated, it will allow for both faster and more reproducible analyses of larger datasets and it will enable more reliable cross-platform comparisons as compared to existing approaches that require manual steps and are tailored to a specific experimental platform. To complement this open-source software, we share a dataset of 1,540 brightfield example movies on which we have tested our software. Through sharing this data and software, our goal is to directly enable quantitative comparisons across labs, and facilitate future collective progress via the biomedical engineering open-source data and software *** Codes 92F05, 74A05 © 2024, CC BY-SA.

关键词： Software testing

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High Intensity Focused Ultrasound-Triggered Drug Release of Angiopep-2 Modified PLGA Small Nanoparticles for Enhancing Glioblastoma Targeting Therapy

High Intensity Focused Ultrasound-Triggered Drug Release of ...

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2016年中国药物制剂大会、中国药学会药剂专业委员会2016年学术年会、中国化学制药工业协会固体制剂专业委员会工作年会、国际控释协会中国分会2016年学术年会

作者：罗子淼 Kai Jin Qiang Pang Zhiqiang Yan Zhiqing Pang Lei Yu Biomedical Engineering and Technology Institute Shanghai Engineering Research Center of Molecular Therapeutics and New Drug DevelopmentSchool of Chemistry and Molecular EngineeringEast China Normal University Department of Pharmaceutics Key Laboratory of Smart Drug DeliveryMinistry of Education & PLASchool of PharmacyFudan University

Aims A novel HIFU-responsive glioblastoma targeting drug delivery system based on doxorubicin/perfluorooctyl bromide-loaded poly(lactic-co-glycolic acid)(PLGA)small nanoparticle(ANP-D/P)was established and evaluated b... 详细信息

关键词： High Intensity Focused Ultrasound-Triggered Drug Release of Angiopep-2 Modified PLGA Small Nanoparticles for Enhancing Glioblastoma Targeting Therapy

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Breast Image Mass Detection Model Based on Multi-Scale Feature Reinforcement Network

SSRN

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SSRN 2024年

作者： Wang, Xianzhe Li, Ying Guo, Hongxu He, Renjie Quan, Jie Wang, Lingyue Guo, Lei Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin300131 China Tianjin Key Laboratory of Bioelectricity and Intelligent Health School of Health Sciences and Biomedical Engineering Hebei University of Technology Tianjin300131 China Department of Radiation Oncology MD Anderson Cancer Center Houston77030 United States Shenzhen Mindray Bio-Medical Electronics Co.Ltd Guangdong Shenzhen518052 China

Analyzing X-ray images is a critical method for diagnosing breast cancer. The prompt and accurate detection of masses from extensive image data is vital in reducing breast cancer incidence and mortality rates. While deep learning-based approaches show promise in effectively detecting cancer, they still face challenges. Specifically, these approaches struggle to extract features from small objects and lack multi-scale feature fusion. Addressing these issues is crucial for more robust detection. In this paper, we propose the Multi-scale Reinforcement Feature Pyramid Network (MRFPN) to tackle these challenges. Firstly, we introduce the Feedback Connections Enhance Module (FCEM), which integrates additional feedback connections from Feature Pyramid Networks into the bottom-up backbone layers. We also design the Symmetry Complement Module (SCM) as a feedback connection structure. Additionally, we propose the Multiscale Fusion Strengthen Module (MFSM) to enhance the expressive power of each layer’s feature map by utilizing feature map information from multiple scales. Within the MFSM, we design the Receptive Expansion Module (REM), which employs dilated convolution to broaden the receptive field, thereby efficiently improving the network’s capability to detect objects of arbitrary sizes. Furthermore, by incorporating MRFPN into Faster RCNN, we design the Multi-scale Reinforcement Breast Mass Detection Network (MRBMDNet). Extensive experiments demonstrate that MRBMDNet outperforms the baseline on datasets of different qualities. Our method achieved 67.84% (in AP@50) and 96% (in TPR@20) on the commonly used INbreast dataset, and 87.5% and 63.2% (in TPR@20) on the publicly available BCS-DBT and MIAS datasets, respectively. Code is available at https://***/xianzhe-wang/MRFPN. © 2024, The Authors. All rights reserved.

关键词： Reinforcement

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Multi-Modality Transrectal Ultrasound Video Classification for Identification of Clinically Significant Prostate Cancer

Multi-Modality Transrectal Ultrasound Video Classification f...

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IEEE International Symposium on biomedical Imaging

作者： Hong Wu Juan Fu Hongsheng Ye Yuming Zhong Xuebin Zou Jianhua Zhou Yi Wang National-Regional Key Technology Engineering Laboratory for Medical Ultrasound Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical Engineering Shenzhen University Shenzhen China Smart Medical Imaging Learning and Engineering (SMILE) Lab Medical UltraSound Image Computing (MUSIC) Lab Shenzhen China The Department of Ultrasound State Key Laboratory of Oncology in South China Guangdong Provincial Clinical Research Center for Cancer Sun Yat-sen University Cancer Center Guangzhou China

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

Prostate cancer is the most common noncutaneous cancer in the world. Recently, multi-modality transrectal ultrasound (TRUS) has increasingly become an effective tool for the guidance of prostate biopsies. With the aim of effectively identifying prostate cancer, we propose a framework for the classification of clinically significant prostate cancer (csPCa) from multi-modality TRUS videos. The framework utilizes two 3D ResNet-50 models to extract features from B-mode images and shear wave elastography images, respectively. An adaptive spatial fusion module is introduced to aggregate two modalities’ features. An orthogonal regularized loss is further used to mitigate feature redundancy. The proposed framework is evaluated on an in-house dataset containing 512 TRUS videos, and achieves favorable performance in identifying csPCa with an area under curve (AUC) of 0.84. Furthermore, the visualized class activation mapping (CAM) images generated from the proposed framework may provide valuable guidance for the localization of csPCa, thus facilitating the TRUS-guided targeted biopsy. Our code is publicly available at https://***/2313595986/ProstateTRUS.

关键词： Location awareness Visualization Solid modeling Ultrasonic imaging Three-dimensional displays Biopsy Termination of employment

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A Small, 4-Degree-Of-Planar Freedom Robot for Artery Cross Clamping during Minimally Invasive Aorta Repair Surgery

A Small, 4-Degree-Of-Planar Freedom Robot for Artery Cross C...

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International Conference on Bioinformatics and biomedical engineering (ICBBE)

作者： Pedram Pahlavan Siamak Najarian Ali Abouei Majid Moini Salman Dehkhoda Biomedical Engineering Faculty Amirkabir University of Technology슠 Tehran Iran Surgery and Trauma Research Center Tehran University of Medical Sciences Tehran Iran General and Vascular Surgery Department AJA University of Medical Sciences Tehran Iran

Abdominal aortic aneurysm (AAA) is one of the most common diseases in old people and accounts for nearly 15,000 deaths each year. The most long-standing approach of AAA treatment is open surgery, at which large incisions are necessary. Drawbacks of open surgery lead to minimally invasive surgery (MIS) of aortic repair, whose main problem is that cross-clamping process is too time consuming. Hand-assisted laparoscopic surgery (HALS) is new approach of AAA treatment. During a HALS, the surgeon takes advantage of his/her fingers and tactile feedback and, as a result, the cross-clamping time would reduce significantly. However, the additional required incision, the space that surgeon's hand would take up, and the possibility of hand fatigue, are some drawbacks that result in the HALS not to be so popular. In this paper, we considered a small, four-degree-of-planar-freedom robot to imitate the function of surgeon's finger during a HALS of aortic repair, to help the surgeon during a MIS surgery to reduce the cross clamping time. Some boundary conditions such as, circular cross section of aorta with a definite diameter of 50 mm, were considered, the governing equations were simulated and the path followed by the tip of the robot, and the different angles of all joints were extracted. It was concluded that although under the considered boundary conditions, the movement can be improved.

关键词： Joints Arteries Robots Minimally invasive surgery Clamps Maintenance engineering

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