BME frontiers最新文献_第5页

Design and Evaluation of Synthetic Delivery Formulations for Peptide-Based Cancer Vaccines. 设计和评估基于肽的癌症疫苗的合成给药配方。

IF 5

BME frontiers Pub Date : 2024-03-21 eCollection Date: 2024-01-01 DOI: 10.34133/bmef.0038

Kefan Song, Suzie H Pun

引用次数: 0

Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics. 空间分辨多组：从单组到多组的数据分析。

IF 5

BME frontiers Pub Date : 2024-01-13 eCollection Date: 2025-01-01 DOI: 10.34133/bmef.0084

Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

{"title":"Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics.","authors":"Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou","doi":"10.34133/bmef.0084","DOIUrl":"10.34133/bmef.0084","url":null,"abstract":"Spatial monoomics has been recognized as a powerful tool for exploring life sciences. Recently, spatial multiomics has advanced considerably, which could contribute to clarifying many biological issues. Spatial monoomics techniques in epigenomics, genomics, transcriptomics, proteomics, and metabolomics can enhance our understanding of biological functions and cellular identities by simultaneously measuring tissue structures and biomolecule levels. Spatial monoomics technology has evolved from monoomics to spatial multiomics. Moreover, the spatial resolution, high-throughput detection capability, capture efficiency, and compatibility with various sample types of omics technology have considerably advanced. Despite the technological advances in this field, data analysis frameworks have stagnated. Current challenges include incomplete spatial monoomics data analysis pipeline, overly complex data analysis tasks, and few established spatial multiomics data analysis strategies. In this review, we systematically summarize recent developments of various spatial monoomics techniques and improvements in related data analysis pipeline. On the basis of the spatial multiomics technology, we propose a data integration strategy with cross-platform, cross-slice, and cross-modality. We summarize the potential applications of spatial monoomics technology, aiming to provide researchers and clinicians with a better understanding of how such applications have advanced. Spatial multiomics technology is expected to substantially impact biology and precision medicine through measurements of cellular tissue structures and the extraction of biomolecular features.","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":"6 ","pages":"0084"},"PeriodicalIF":5.0,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11725630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Making “CASES” for AI in Medicine 为人工智能在医学中的应用提供 "案例

BME frontiers Pub Date : 2024-01-03 DOI: 10.34133/bmef.0036

Ge Wang

引用次数: 0

Intracellular Protein Delivery: Approaches, Challenges, and Clinical applications 细胞内蛋白质传递：方法、挑战和临床应用

BME frontiers Pub Date : 2023-12-18 DOI: 10.34133/bmef.0035

Alexander Chan, Andrew Tsourkas

引用次数: 0

Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices 毫米级动物的可扩展电生理与电极装置

BME frontiers Pub Date : 2023-11-13 DOI: 10.34133/bmef.0034

Kairu Dong, Wen-Che Liu, Yuyan Su, Yidan Lyu, Hao Huang, Nenggan Zheng, John A Rogers, Kewang Nan

引用次数: 0

Perspective: Limiting Antimicrobial Resistance with Artificial Intelligence/Machine Learning 视角:利用人工智能/机器学习限制抗菌素耐药性

BME frontiers Pub Date : 2023-11-03 DOI: 10.34133/bmef.0033

Daniel Amsterdam

引用次数: 0

Transcranial Acoustic Metamaterial Parameters Inverse Designed by Neural Networks. 神经网络设计的经颅声学超材料参数反演。

BME frontiers Pub Date : 2023-09-25 eCollection Date: 2023-01-01 DOI: 10.34133/bmef.0030

Yuming Yang, Dong Jiang, Qiongwen Zhang, Xiaoxia Le, Tao Chen, Huilong Duan, Yinfei Zheng

{"title":"Transcranial Acoustic Metamaterial Parameters Inverse Designed by Neural Networks.","authors":"Yuming Yang, Dong Jiang, Qiongwen Zhang, Xiaoxia Le, Tao Chen, Huilong Duan, Yinfei Zheng","doi":"10.34133/bmef.0030","DOIUrl":"10.34133/bmef.0030","url":null,"abstract":"Objective: The objective of this work is to investigate the mapping relationship between transcranial ultrasound image quality and transcranial acoustic metamaterial parameters using inverse design methods. Impact Statement: Our study provides insights into inverse design methods and opens the route to guide the preparation of transcranial acoustic metamaterials. Introduction: The development of acoustic metamaterials has enabled the exploration of cranial ultrasound, and it has been found that the influence of the skull distortion layer on acoustic waves can be effectively eliminated by adjusting the parameters of the acoustic metamaterial. However, the interaction mechanism between transcranial ultrasound images and transcranial acoustic metamaterial parameters is unknown. Methods: In this study, 1,456 transcranial ultrasound image datasets were used to explore the mapping relationship between the quality of transcranial ultrasound images and the parameters of transcranial acoustic metamaterials. Results: The multioutput parameter prediction model of transcranial metamaterials based on deep back-propagation neural network was built, and metamaterial parameters under transcranial image evaluation indices are predicted using the prediction model. Conclusion: This inverse big data design approach paves the way for guiding the preparation of transcranial metamaterials.","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":"4 ","pages":"0030"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Erratum to "BME 2.0: Engineering the Future of Medicine". “BME 2.0：医学未来工程”勘误表。

IF 5

BME frontiers Pub Date : 2023-09-20 eCollection Date: 2023-01-01 DOI: 10.34133/bmef.0028

Michael I Miller, Andrew O Brightman, Frederick H Epstein, K Jane Grande-Allen, Jordan J Green, Eileen Haase, Cato T Laurencin, Elizabeth Logsdon, Feilim Mac Gabhann, Brenda Ogle, Chun Wang, George R Wodicka, Raimond L Winslow

引用次数: 0

Erratum to "Optical Detection of Distal Lung Enzyme Activity in Human Inflammatory Lung Disease". “人类炎症性肺病远端肺酶活性的光学检测”勘误表。

IF 5

BME frontiers Pub Date : 2023-09-20 eCollection Date: 2023-01-01 DOI: 10.34133/bmef.0029

Alicia Megia-Fernandez, Adam Marshall, Ahsan R Akram, Bethany Mills, Sunay V Chankeshwara, Emma Scholefield, Amy Miele, Bruce C McGorum, Chesney Michaels, Nathan Knighton, Tom Vercauteren, Francois Lacombe, Veronique Dentan, Annya M Bruce, Joanne Mair, Robert Hitchcock, Nik Hirani, Chris Haslett, Mark Bradley, Kevin Dhaliwal

引用次数: 0

Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy. 基于电酶组装策略的代谢产物高效同时检测。

BME frontiers Pub Date : 2023-09-19 eCollection Date: 2023-01-01 DOI: 10.34133/bmef.0027

Anran Zheng, Chao Li, Shengkai Xu, Zhen Guo, Chuanyu Li, Changsong Zhang, Jia Yao, Zhiqi Zhang, Jinze Li, Lutao Du, Shasha Zhao, Chuanxin Wang, Wei Zhang, Lianqun Zhou

{"title":"Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy.","authors":"Anran Zheng, Chao Li, Shengkai Xu, Zhen Guo, Chuanyu Li, Changsong Zhang, Jia Yao, Zhiqi Zhang, Jinze Li, Lutao Du, Shasha Zhao, Chuanxin Wang, Wei Zhang, Lianqun Zhou","doi":"10.34133/bmef.0027","DOIUrl":"https://doi.org/10.34133/bmef.0027","url":null,"abstract":"Objective and Impact Statement: We describe an electroenzymatic mediator (EM) sensor based on an electroenzymatic assembly peak separation strategy, which can efficiently realize the simultaneous detection of 3 typical cardiovascular disease (CVD) metabolites in 5 μl of plasma under one test. This work has substantial implications toward improving the efficiency of chronic CVD assessment. Introduction: Monitoring CVD of metabolites is strongly associated with disease risk. Independent and time-consuming detection in hospitals is unfavorable for chronic CVD management. Methods: The EM was flexibly designed by the cross-linking of electron mediators and enzymes, and 3 EM layers with different characteristics were assembled on one electrode. Electrons were transferred under tunable potential; 3 metabolites were quantitatively detected by 3 peak currents that correlated with metabolite concentrations. Results: In this study, the EM sensor showed high sensitivity for the simultaneous detection of 3 metabolites with a lower limit of 0.01 mM. The linear correlation between the sensor and clinical was greater than 0.980 for 242 patients, and the consistency of risk assessment was 94.6%. Conclusion: Metabolites could be expanded by the EM, and the sensor could be a promising candidate as a home healthcare tool for CVD risk assessment.","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":"4 ","pages":"0027"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0