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Auricular Acupuncture and biomedical research——A Promising Sino-Austrian research Cooperation

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Chinese Journal of Integrative Medicine 2015年第12期21卷 887-894页

作者：荣培晶赵敬军李宇清 Daniela Litscher 李少源 Ingrid Gaischek 翟煦 WANG Lu 罗曼 Gerhard Litscher Institute of Acupuncture-Moxibustion China Academy of Chinese Medical Sciences Traditional Chinese Medicine research Center Graz Research Unit for Complementary and Integrative Laser MedicineResearch Unit of Biomedical Engineering in Anesthesia and Intensive Care MedicineMedical University of Graz

Treatment by auricular acupuncture has a long history. Ear-acupoint research has been advancing step by step in China and also in Europe. Auricles are rich in nerves, therefore a close relationship with different functions of the human body has been proved by the research teams of the two main authors of this article from China and Austria. In recent years, great progress has been made in the research of regulating human body functions through electroacupuncture at the auricular branch of the vagus nerve, which is part of auricular acupuncture therapy. It is well known that the auricular branch of the vagus nerve is the only peripheral pathway to the cerebral cortex. Studies of the Chinese team on hypertension, diabetes, epilepsy and depression have shown that the mechanism of auricular vagus nerve stimulation （VNS） may be comparable with cervical VNS in terms of pathways. Auricular VNS has a broad clinical application prospect.

关键词： auricular acupuncture biomedical research vagus nerve

Co-occurrence of Cell Lines, Basal Media and Supplementation in the biomedical research Literature

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Journal of Data and Information Science 2020年第3期5卷 161-177页

作者： Jessica Cox Darin McBeath Corey Harper Ron Daniel Elsevier Labs 230 Park AvenueNew YorkNY 10169USA

Purpose: The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal medias and undefined supplements. As a first step towards better understanding and measuring the impact these systems have on experimental results, we use text mining to capture typical research practices and trends around cell ***/methodology/approach: To measure the scale of in vitro cell culture use, we have analyzed a corpus of 94,695 research articles that appear in biomedical research journals published in ScienceDirect from 2000–2018. Central to our investigation is the observation that studies using cell culture describe conditions using the typical sentence structure of cell line, basal media, and supplemented compounds. Here we tag our corpus with a curated list of basal medias and the Cellosaurus ontology using the Aho-Corasick algorithm. We also processed the corpus with Stanford CoreNLP to find nouns that follow the basal media, in an attempt to identify supplements used. Findings: Interestingly, we find that researchers frequently use DMEM even if a cell line's vendor recommends less concentrated media. We see long-tailed distributions for the usage of media and cell lines, with DMEM and RPMI dominating the media, and HEK293, HEK293 T, and HeLa dominating cell lines used. research limitations: Our analysis was restricted to documents in ScienceDirect, and our text mining method achieved high recall but low precision and mandated manual inspection of many *** implications: Our findings document current cell culture practices in the biomedical research community, which can be used as a resource for future experimental ***/value: No other work has taken a text mining approach to surveying cell culture practices in biomedical research.

关键词： Cell culture biomedical research Text mining

PETG:Applications in Modern Medicine

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Engineered Regeneration 2024年第1期5卷 45-55页

作者： Catherine Yan Corinne Kleiner Aaron Tabigue Veer Shah Gregory Sacks Darshi Shah Vincent DeStefano Renaissance School of Medicine at Stony Brook University Stony BrookNYUSA Department of Biology Niagara UniversityLewistonNYUSA Stony Brook University Stony BrookNYUSA Department of Mechanical and Industrial Engineering Northeastern UniversityBostonMAUSA

Polyethylene terephthalate glycol,PETG,is a miscible,transparent thermoplastic known to have strong tensile properties,high ductility,as well as resistance to heat and chemical *** may be manufactured in several ways,most notably 3D printing *** such,PETG has emerged as a viable biomaterial for a variety of medical applications such as tissue engineering,dentistry,optometry,vascular health,cardiology,orthopedics,neurology,gynecology,and *** also serves a valuable role in biomedical research and engineering by offering improvements in cell studies,drug carriers,and anti-bacterial *** medical research and innovation utilizing PETG will better characterize its value as an inexpensive and versatile biomaterial.

关键词： Polyethylene terephthalate glycol Tissue Engineering 3D Printing Clinical Applications biomedical research

Bridging the Gap:Integration of Artificial Intelligence with Organ-on-Chip(AI-OoC)

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IJLAI Transactions on Science and Engineering

IJLAI Transactions on Science and Engineering 2024年第1期2卷 17-23页

作者： Mirza Abdul Aleem Baig Center for biomedical Engineering School of Electronic Engineering and Information ScienceUniversity of Science and Technology of China(USTC)HefeiAnhuiP.R.China

.Organ-on-Chip(OoC)has emerged as a revolutionary approach to emulate human organ function-ality in vitro,offering unparalleled insights into physiological processes and disease *** integration of artiﬁcial intelligence(AI)with OoC platforms presents a transformative synergy,combining the precision of microscale organ replication with the analytical prowess of intelligent algorithms,is emerging as a transforma-tive force in harnessing the full potential of *** perspective investigates the multifaceted implications of integrating AI with OoC,examining its impact on biomedical research,acknowledging the synergistic po-tential that arises from combining the precision of microscale organ replication with the analytical capabilities of intelligent algorithms,and fostering a future where the intricate workings of the technology and biology.

关键词： Organ-on-Chip(OoC) Artiﬁcial Intelligence(AI) biomedical research Technology&Biology.

Mixed methods research in complementary and alternative medicine:a scoping review

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Journal of Traditional Chinese Medicine 2022年第4期42卷 652-666页

作者： DU Wanqing WANG Liuding JIA Min LIANG Xiao LI Bo ZHANG Yunling LIAO Xing Department of Neurology Xiyuan HospitalChina Academy of Chinese Medical SciencesBeijing100091China Center for Evidence-based Chinese Medicine Institute of Basic Research in Clinical MedicineChina Academy of Chinese Medical SciencesBeijing 100700China Xiyuan School of Clinical Medicine Beijing University of Chinese MedicineBeijing100029China Department of Clinical Epidemiology Beijing Traditional Chinese Medicine HospitalCapital Medical UniversityBeijing Institute of Traditional Chinese MedicineBeijing 100010China

OBJECTIVE:To update the current characteristics about the scope and quality of mixed methods research(MMR)in complementary and alternative medicine(CAM)after nearly 10 ***:A 5-stage approach for conducting a scoping review was *** published on the top 10 journals in CAM with the highest impact factor in 2020 were screened for *** of included articles were extracted,and then synthesized to illustrate the current *** quality was evaluated according to the Mixed Method Appraisal Tool(MMAT)2018 ***:A total of 55(55/2991,2%)articles using mixed methods were retrieved,including 17 medical studies and 38 ethnobotanical *** performed an in-depth analysis on the 17 medical studies,which studied cancer,stress,pain,fatigue,exercises,mindfulness intervention,herbal medicine use,art and *** pilot studies applied MMR to evaluate the feasibility of interventions or programs(13/17,76%);phenomenology was inferred as the most common philosophical assumptions(13/17,76%);the most applied type of MMR was convergent design(16/17,94%);integration often took place at integration(12/17,71%).Among the 16 eligible studies for quality appraisal,majority were rated as good(14/16,88%),whereas two studies were rated as poorly ***,a poor rating was due to incomplete reporting of data analysis and citations in qualitative components;lack of confounder controlling and the sampling strategy in quantitative components;poor description of integration and justification for mixed *** with the previous review,fewer MMR were published in 2020 in CAM,but the proportion of studies that clearly reported MMR has increased by 4 times(4%→15%).CONCLUSION:CAM researchers need to realize the benefits that MMR can have on conducting further health care *** findings highlight that applying MMR will be helpful to understand the complex dynamics and interdisciplinary nature of complex intervent

关键词： complementary therapies review biomedical research pilot projects mixed methods

Data analysis guidelines for single‑cell RNA‑seq in biomedical studies and clinical applications

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军事医学研究:英文版 2023年第4期10卷 529-553页

作者： Min Su Tao Pan Qiu‑Zhen Chen Wei‑Wei Zhou Yi Gong Gang Xu Huan‑Yu Yan Si Li Qiao‑Zhen Shi Ya Zhang Xiao He Chun‑Jie Jiang Shi‑Cai Fan Xia Li Murray J.Cairns Xi Wang Yong‑Sheng Li State Key Laboratory of Reproductive Medicine Nanjing Medical UniversityNanjing 211166China College of biomedical Information and Engineering the First Affiliated Hospital of Hainan Medical UniversityHainan Medical UniversityHaikou 571199HainanChina College of Bioinformatics Science and Technology Harbin Medical UniversityHarbin 150081HeilongjiangChina Department of Immunology Nanjing Medical UniversityNanjing 211166China Department of Laboratory Medicine Women and Children’s Hospital of Chongqing Medical UniversityChongqing 401174China Baylor College of Medicine HoustonTX 77030USA Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 518110GuangdongChina School of biomedical Sciences and Pharmacy Faculty of Health and Medicinethe University of NewcastleUniversity DriveCallaghanNSW 2308Australia Precision Medicine research Program Hunter Medical Research InstituteNew Lambton HeightsNSW 2305Australia

The application of single-cell RNA sequencing(scRNA-seq)in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic *** the expansion of capacity for high-throughput scRNA-seq,including clinical samples,the analysis of these huge volumes of data has become a daunting prospect for researchers entering this ***,we review the workflow for typical scRNA-seq data analysis,covering raw data processing and quality control,basic data analysis applicable for almost all scRNA-seq data sets,and advanced data analysis that should be tailored to specific scientific *** summarizing the current methods for each analysis step,we also provide an online repository of software and wrapped-up scripts to support the *** and caveats are pointed out for some specific analysis tasks and *** hope this resource will be helpful to researchers engaging with scRNA-seq,in particular for emerging clinical applications.

关键词： Single-cell RNA-sequencing(scRNA-seq) Data analysis biomedical research Clinical applications

Kidney organoids as a promising tool in nephrology

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Genes & Diseases 2022年第3期9卷 585-597页

作者： Mengyuan Wu Tingting Hu Ping Zhu Moussa Ide Nasser Jie Shen Fang Sun Qingnan He Mingyi Zhao Department of Pediatrics The Third Xiangya HospitalCentral South UniversityChangshaHunan 410013PR China Guangdong Cardiovascular Institute Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdong 510100PR China XiangYa School of Medicine Central South UniversityChangshaHunan 410013PR China

Kidney disease has become a global public health problem affecting over 750 million people worldwide and imposing a heavy economic burden on *** complex architecture of the human kidney makes it very difficult to study the pathophysiology of renal diseases in vitro and to develop effective therapeutic options for *** though cell lines and animal models have enriched our understanding,they fail to recapitulate key aspects of human kidney development and renal disease at cellular and functional *** can be derived from either pluripotent stem cells or adult stem cells by strictly regulating key signalling ***,these self-differentiated organoids represent a promising technology to further understand the human kidney,one of the most complex organs,in an unprecedented *** newly established protocols improved by organ-on-chip and coculture with immune cells will push kidney organoids towards the next ***,we focus on recent achievements in the application of kidney organoids in disease modelling,nephrotoxic testing,precision medicine,biobanking,and regenerative therapy,followed by discussions of novel strategies to improve their utility for biomedical *** applications we discuss may help to provide new ideas in clinical fields.

关键词： biomedical research Disease modelling Kidney organoids Precision medicine Stem cells

Artificial Intelligence in Healthcare:Review and Prediction Case Studies

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Engineering 2020年第3期6卷 291-301页

作者： Guoguang Rong Arnaldo Mendez Elie Bou Assi Bo Zhao Mohamad Sawan School of Engineering Westlake UniversityHangzhou 310024China Institute of Advanced Study Westlake Institute for Advanced StudyHangzhou 310024China Polystim Neurotech Laboratory Polytechnique MontréalMontréalQC H3T1J4Canada Institute of VLSI Design College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China

Artificial intelligence(AI)has been developing rapidly in recent years in terms of software algorithms,hardware implementation,and applications in a vast number of *** this review,we summarize the latest developments of applications of AI in biomedicine,including disease diagnostics,living assistance,biomedical information processing,and biomedical *** aim of this review is to keep track of new scientific accomplishments,to understand the availability of technologies,to appreciate the tremendous potential of AI in biomedicine,and to provide researchers in related fields with *** can be asserted that,just like AI itself,the application of AI in biomedicine is still in its early *** progress and breakthroughs will continue to push the frontier and widen the scope of AI application,and fast developments are envisioned in the near *** case studies are provided to illustrate the prediction of epileptic seizure occurrences and the filling of a dysfunctional urinary bladder.

关键词： Artificial intelligence Machine learning Deep learning Neural network biomedical research Healthcare applications Epileptic seizure Urinary bladder filling

Statistical testing and distribution for lead chloride toxicity

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Asian Journal of Andrology 2005年第1期7卷 107-108,页

作者： John H.Lange Envirosafe Training and Consultants P.O. Box 114022 Pittsburgh PA 15239 USA

Dear Sir, Graca et al.[1]provided an interesting investigationon the toxicity of lead chloride and sperm developmentin ***, I would like to make a comment onthe statistical analysis *** 1 and its resultsSuggest that a... 详细信息

关键词： Animals biomedical research Comparative Study Lead Male Mice Spermatogenesis