检索结果-内蒙古大学图书馆

Design considerations for piezocomposite materials for electrical stimulation in medical implants

Journal of Medical Engineering and Technology 2022年第5期46卷 402-414页

作者： Krech, Ember Haas, Evan Tideman, Grace Reinsch, Bonnie Friis, Elizabeth Bioengineering Graduate Program University of Kansas LawrenceKS United States Department of Mechanical Engineering University of Kansas LawrenceKS United States Department of Chemical Engineering University of Kansas LawrenceKS United States

Incidence of non-union following long bone fracture fixation and spinal fusion procedures is increasing, and very costly for patients and the medical system. Direct current (DC) electrical stimulation has shown success as an adjunct therapy to stimulate bone healing and increase surgery success rates, though drawbacks of current devices and implantable battery packs have limited widespread use. Energy harvesting utilising piezoelectric materials has been widely studied for powering devices without a battery, and a preclinical animal study has shown efficacy of a piezocomposite spinal fusion implant resulting in faster, more robust fusion. Most piezoelectric energy harvesters operate most effectively at high frequencies, limiting power generation from loads experienced by orthopaedic implants during human motion. This work characterises the efficient power generation capability of a novel composite piezoelectric material under simulated walking loads. Building on compliant layer adaptive composite stacks (CLACS), the power generation of mixed-mode CLACS (MMCLACS) is defined. Utilising poling direction to capitalise on in-plane strain generation due to compliant layer expansion, MMCLACS significantly increased power output compared to a standard piezo stack. The combination of radial and through-thickness poled piezoelectric elements within a stack to create MMCLACS significantly increases power generation under low-frequency dynamic loads. This technology can be adapted to a variety of architectures and assembled as a load-bearing energy harvester within current implants. MMCLACS integrated with implants would provide enough power to deliver bone healing electrical stimulation directly to the fusion site, decreasing non-union rates, and also could provide quantitative assessment of healing progression through load sensing. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples 1st

Safe Breast Cancer Diagnosis Resilient to Mammographic Adve...

引用

1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024

作者： Hao, Degan Arefan, Dooman Zuley, Margarita L. Berg, Wendie A. Wu, Shandong Intelligent Systems Program University of Pittsburgh PittsburghPA United States Department of Radiology University of Pittsburgh PittsburghPA United States Department of Bioengineering University of Pittsburgh PittsburghPA United States Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States

ISBN: (纸本)9783031777882

Adversarial data can lead to malfunction of deep learning applications. It is essential to develop deep learning models that are resilient to adversarial data while accurate on standard, clean data. In this study, we focus on building safe breast cancer diagnosis models against mammographic adversarial samples. We proposed a novel adversarially robust feature learning (ARFL) method to facilitate adversarial training using both standard data and adversarial data, where a feature correlation measure is incorporated as an objective function to encourage learning of robust features and restrain spurious features. To show the efficacy of ARFL for robust breast cancer diagnosis, we built and evaluated deep learning diagnosis models using two independent clinically collected breast imaging datasets, comprising a total of 9,548 mammogram images. We performed extensive experiments showing that the ARFL method outperformed several state-of-the-art methods. ARFL can serve as an effective method to enhance adversarial training, towards building safe breast cancer diagnosis against adversarial attacks in clinical settings. The code repository of this study is publicly available at GitHub: https://***/usernamesafeai/ARFL. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models

Preliminary results to predict tuberculosis outcomes applyin...

引用

2022 International Conference on ENTERprise Information Systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022

作者： De Andrade Mioto, Ana Clara Mozini, Mariana Tavares Segamarchi, Renan Barbieri Soares, Giovane Thomazini Martins, Pedro Emilio Andrade Cassao, Victor Ferrassini, Luís Gustavo Barichello Miyoshi, Newton Shydeo Brandao Alves, Domingos De Oliveira, Lariza Laura Bioengineering Postgraduate Program University of Sao Paulo Sao Carlos Brazil Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil University Center Barao de Mauá Ribeirao Preto Brazil

Tuberculosis (TB) remains one of the most lethal infectious diseases in the world and, despite being preventable and curable, kills 4.500 people daily, according to the World Health Organization (WHO). Brazil, being a country heavily affected by TB, works to improve social intervention programs, since the decrease in the patients vulnerability seems to have a positive effect for the cure of TB. The Brazilian public health system records data on TB treatment that can guide actions and interventions. In this context, machine learning (ML) algorithms have been used successfully to analyze health and medicine (H&M) datasets. An emerging area of ML called Automated Machine Learning (Auto-ML) was tested in this analysis to predict the following TB results: good and bad outcomes. Our results indicate that it is possible to build reasonable ML models with the available data. © 2022 The Authors. Published by ELSEVIER B.V.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

OUTB: application for decision-support in the outcomes of Tuberculosis

引用

Procedia Computer Science 2024年 239卷 832-839页

作者： Mariana Mozini Raul Rothschild Ana Clara Mioto Filipe Bernardi Vinícius Lima Giovane Soares Renan Segamarchi Domingos Alves Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil Bioengineering Postgraduate Program University of São Paulo São Carlos Brazil

Brazil is among the 30 countries with the highest tuberculosis prevalence, and many studies are trying to understand and fight the harmful outcomes of this disease. In that sense, the following project proposes the development of a mobile application prototype that centralizes diagnosis aid tools for tuberculosis, making the process more transparent for the patient, using the Single Patient Application (SPA) concept. The application was built based on JavaScript and the frameworks chosen were Vue Framework along with Framework7 due to its focus on interface components. Communication with the back-end was done through AJAX calls. As a result, a prototype was built with the five main screens that the user will interact with: authentication/login screen, home screen, list of available algorithms, outcomes algorithm home screen and patient history. The interface design is expected to facilitate the planning of other application areas and contribute to defining business rules. Once implemented on the server side, these rules can support an organized, patient-centered tuberculosis database.

关键词： Tuberculosis Mobile application Decision support Health guidelines

来源：评论

学校读者我要写书评

暂无评论

Quality analysis and study of tuberculosis diagnostic data

Quality analysis and study of tuberculosis diagnostic data

引用

2023 International Conference on ENTERprise Information Systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information Systems and Technologies, HCist 2023

作者： De Andrade Mioto, Ana Clara Andrade Martins, Pedro Emilio Modina, Gabriel Alves, Domingos Lima, Vinicius Costa Neiva, Mariane Bernardi, Filipe Andrade Bioengineering Postgraduate Program University of São Paulo Sao Carlos Brazil Ribeirão Preto Medical School University of São Paulo Ribeirao Preto Brazil Institute of Mathematical and Computer Sciences University of São Paulo Ribeirao Preto Brazil

According to the World Health Organization (WHO), annually, 10 million people suffer from Tuberculosis (TB) worldwide, an infection caused by the bacteria Mycobacterium tuberculosis. Clinical data is complex and characterized by heterogeneity, making the interoperability of systems challenging and impairing the availability, integration, and quality of data, essential for health activity. This negatively impacts both patient treatment and decision-making. At the data level, the identification and evaluation of the best quality attributes of clinical data and recommendations available in different articles explored during the article, will be carried out. The analysis will also look for data clusters that do not meet these recommendations, in order to identify unknown patterns that may help to understand the mechanisms behind the data quality and, consequently, the expected results for the evaluated project. © 2024 Elsevier B.V.. All rights reserved.

关键词： FAIR Quality Analysis Tuberculosis

来源：评论

学校读者我要写书评

暂无评论

Reduction reactions dominate the interactions between Mg alloys and cells:Understanding the mechanisms

引用

Bioactive Materials 2025年第3期45卷 363-387页

作者： Jua Kim Jeremy L.Gilbert William W.Lv Ping Du Haobo Pan Shenzhen Key Laboratory of Marine Biomaterials CAS-HK Joint Lab of BiomaterialsShenzhen Institute of Advanced TechnologyChinese Academy of Sciences1068 Xueyuan AvenueShenzhen University TownShenzhen518055PR China Syracuse Biomaterials Institute Syracuse University318 Bowne HallSyracuse UniversitySyracuseNY13244USA Clemson-Medical University of South Carolina Bioengineering Program Department of BioengineeringClemson University68 Presidents StCharlestonSC39425USA Department of Orthopaedics and Traumatology Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong999077PR China Shenzhen Healthemes Biotechnology Co.Ltd Shenzhen518102PR China College of Chemical Engineering Xinjiang Normal UniversityUrumqi830054PR China

Magnesium(Mg)alloys are popular biodegradable metals studied for orthopedic and cardiovascular applications,mainly because Mg ions are essential trace elements known to promote angiogenesis and ***,Mg corrosion consists of oxidation and reduction reactions that produce by-products,such as hydrogen gas,reactive oxygen species,and *** is still unclear how all these by-products and Mg ions concomitantly alter the microenvironment and cell behaviors spatially and *** study shows that Mg corrosion can enhance cell proliferation by reducing intracellular ***,Mg cannot decrease ROS and promote cell proliferation in simulated inflammatory conditions,meaning the microenvironment is ***,cells may respond to Mg ions differently in chronic or acute alkaline pH or oxidative *** on the corrosion rate,Mg modulates HIF1αand many signaling pathways like PI3K/AKT/mTOR,mitophagy,cell cycle,and oxidative ***,this study provides a fundamental insight into the importance of reduction reactions in Mg alloys.

关键词： Magnesium alloys Electrochemical reactions Mg ions Alkaline pH Reactive oxygen species

来源：评论

学校读者我要写书评

暂无评论

Aging impairs the osteocytic regulation of collagen integrity and bone quality

引用

Bone Research 2024年第1期12卷 78-94页

作者： Charles A.Schurman Serra Kaya Neha Dole Nadja M.Maldonado Luna Natalia Castillo Ryan Potter Jacob P.Rose Joanna Bons Christina D.King Jordan B.Burton Birgit Schilling Simon Melov Simon Tang Eric Schaible Tamara Alliston Department of Orthopaedic Surgery University of CaliforniaSan FranciscoCA 94143USA UC Berkeley/UCSF Graduate Program in Bioengineering San FranciscoCA 94143USA Buck Institute for Research on Aging NovatoCA 94945USA Washington University in St Louis Department of OrthopedicsSt.LouisMO 63130USA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

Poor bone quality is a major factor in skeletal fragility in elderly *** molecular mechanisms that establish and maintain bone quality,independent of bone mass,are unknown but are thought to be primarily determined by *** hypothesize that the age-related decline in bone quality results from the suppression of osteocyte perilacunar/canalicular remodeling(PLR),which maintains bone material *** examined bones from young and aged mice with osteocyte-intrinsic repression of TGFβsignaling(TβRII^(ocy−/−))that suppresses *** control aged bone displayed decreased TGFβsignaling and PLR,but aging did not worsen the existing PLR suppression in male TβRII^(ocy−/−)*** relationship impacted the behavior of collagen material at the nanoscale and tissue scale in macromechanical *** effects of age on bone mass,density,and mineral material behavior were independent of osteocytic TGFβ.We determined that the decline in bone quality with age arises from the loss of osteocyte function and the loss of TGFβ-dependent maintenance of collagen integrity.

关键词： maintain primarily integrity

来源：评论

学校读者我要写书评

暂无评论

Spectral DefocusCam: hyperspectral imaging using defocus and a spectral filter array

Spectral DefocusCam: hyperspectral imaging using defocus and...

引用

Computational Optical Sensing and Imaging, COSI 2022

作者： Foley, Christian Monakhova, Kristina Yanny, Kyrollos Waller, Laura Department of Electrical Engineering and Computer Sciences University of California Berkeley United States UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley United States

We propose a compact hyperspectral camera based on a focus-tunable lens and spectral filter array. The camera captures then fuses multiple defocused measurements to obtain a high-resolution hyperspectral volume. ©... 详细信息

ISBN: (纸本)9781557528209

关键词： Hyperspectral imaging

来源：评论

学校读者我要写书评

暂无评论

Advances in AAV capsid engineering: Integrating rational design, directed evolution and machine learning

引用

Molecular Therapy 2025年第5期33卷 1937-1945页

作者： Nisanov, Alan M. Rivera de Jesús, Julio A. Schaffer, David V. Department of Chemistry University of California Berkeley Berkeley 94720 CA United States Department of Chemical and Biomolecular Engineering University of California Berkeley Berkeley 94720 CA United States Department of Bioengineering University of California Berkeley Berkeley 94720 CA United States Graduate Program in Bioengineering University of California Berkeley San Francisco and University of California Berkeley 94720 CA United States Department of Neurological Surgery University of California San Francisco 94143 CA United States Department of Molecular and Cell Biology University of California Berkeley Berkeley 94720 CA United States

Adeno-associated virus (AAV) has emerged as a highly promising vector for human gene therapy due to its favorable safety profile, versatility, and ability to transduce a wide range of tissues. However, natural AAV serotypes have shortcomings, including suboptimal transduction efficiency, pre-existing immunity, and a lack of tissue specificity, that hinder their therapeutic potential. To address these challenges, significant efforts are being applied to engineer novel AAV capsids. Rational design leverages structural insights to enhance capsid properties, directed evolution enables unbiased selection of superior variants, and machine learning accelerates discovery by computational analysis of high-throughput screening results to enable predictive algorithms. These strategies have yielded novel capsids with improved transduction efficiency, reduced immunogenicity, and enhanced tissue targeting. Future advances that continue to integrate such multi-disciplinary approaches will further drive the clinical translation of AAV-based therapies. © 2025 The Authors

关键词： AAV directed evolution gene therapy high-throughput screening machine learning next generation sequencing NGS rational design

来源：评论

学校读者我要写书评

暂无评论

Single-cell RNA-sequencing and subcellular spatial transcriptomics facilitate the translation of liver microphysiological systems for regulatory application

引用

Journal of Pharmaceutical Analysis 2023年第7期13卷 691-693页

作者： Dan Li Zhou Fang Qiang Shi Nicholas Zhang Binsheng Gong Weida Tong Ahmet F.Coskun Joshua Xu Division of Bioinformatics and Biostatistics National Center for Toxicological ResearchU.S.Food and Drug AdministrationJeffersonAR72079USA Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory UniversityAtlantaGA30332USA Machine Learning Graduate Program Georgia Institute of TechnologyAtlantaGA30332USA Division of Systems Biology National Center for Toxicological ResearchU.S.Food and Drug AdministrationJeffersonAR72079USA Interdisciplinary Bioengineering Graduate Program Georgia Institute of TechnologyAtlantaGA30332USA Parker H.Petit Institute for Bioengineering and Bioscience Georgia Institute of TechnologyAtlantaGA30332USA

Reducing the use of animal models in drug development and safety assessment has long been supported by the *** and Drug Administration(FDA).The report by Royal Society for the Prevention of Cruelty to Animals indicates that in 2020,experiments involved the use of over 100 million animals,with the United States leading the list by utilizing 20 million *** ethical considerations associated with animal testing and the costs in terms of time and money,animal models are not always effective in predicting human reactions to drug *** animal testing has been the traditional method for assessing the safety and efficacy of drugs.

关键词： money utilizing testing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：