• 대한임상검사과학회지
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• 제53권1호
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• pp.105-121
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• 2021

임상병리사 명칭 변경과 관련한 의견을 수렴하기 위해 사단법인 대한임상병리사협회에서는 정회원으로 등록된 총 22,638명에게 온라인을 통해 제시된 명칭에서 2개를 선택하는 설문 답변을 요구하였으며 이 중 3,999명(17.66%)이 설문조사에 회신답변하였다. 명칭 선호도는 회원 1인당 2개를 선택하는 답변을 통해서 6,958건이 산출되었으며 그 중 5,555건(79.83%)가 '분석사' 레벨을 선호하였다. 명칭에 대한 조사결과는 진단검사분석사가 2,417건(34.73%)으로 가장 많았고, 임상검사분석사는 1,710건(24.57%), 의생명병리사는 758건(10.89%), 의생명분석사는 730건(10.49%), 의생명검사분석사는 730건(10.03%), 임상검사과학사는 646건(9.26%) 순으로 조사되었다. 따라서 조사된 회원들의 요구도, 자문, 문헌고찰, 표준직업분류, 주요대상국 현황을 기반으로 "진단검사분석사(Diagnostic Laboratory Analyst), 의생명검사분석사(Biomedical Laboratory Analyst), 의생명분석사(Biomedical Analyst)"를 명칭 정립으로 제언하고자 한다.

• 한국시뮬레이션학회논문지
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• 제10권3호
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• pp.31-46
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• 2001

Repeated measurements on units under different conditions are common in biological and biomedical studies. In a number of growth and pharmacokinetic studies, the relationship between the response and the covariates is assumed to be nonlinear in some unknown parameters and the form remains the same for all units. Nonlinear random coefficient models are used to analyze such repeated measurement data. Extended least squares methods are proposed in the literature for estimating the parameters of the model. However, neither objective function has closed form expression in practice. This paper proposes Monte Carlo methods to estimate the objective functions and the corresponding estimators. A simulation study that compare various methods is included.

• 연구윤리
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• 제5권2호
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• pp.17-23
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• 2024

Purpose: The internet, as a tool, avenue, and field, has wide-researching and specific ethical concerns. Internet-based research ethics is a field that spreads across numerous fields, scoping from natural and biomedical sciences to social sciences, and arts and humanities. Thus, this study which investigates research ethics within an Internet-based Research Setting will be quite valuable. Research design, data and methodology: The current authors widely took a look at prior and present literature dataset to explore research ethics within an Internet-based setting. Using numerous search engine, such as 'Goole Scholar', 'Scopus', and 'Web of Science', the current authors could obtain total 42 prior studies that are relevant with our research topic. Results: Based on the screening process in the literature datasets, this study could categorize four areas of the research ethics within Internet-based research setting as follows: (1) Human Subjects Ethics, (2) Big Data Ethical Issues, (3) Research Ethics and Cloud, and (4) Computing Interviews and Surveys Ethics. Conclusions: This study concludes that although internet-based research has many benefits, the accompanying ethical issues are many. The lack of uniformity in the concept and terminology of online research methods typically brings forth confusion and makes it hard for new researchers to develop mutual guidelines.

• Genomics & Informatics
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• 제18권2호
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• pp.15.1-15.6
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• 2020

Named entity recognition tools are used to identify mentions of biomedical entities in free text and are essential components of high-quality information retrieval and extraction systems. Without good entity recognition, methods will mislabel searched text and will miss important information or identify spurious text that will frustrate users. Most tools do not capture non-contiguous entities which are separate spans of text that together refer to an entity, e.g., the entity "type 1 diabetes" in the phrase "type 1 and type 2 diabetes." This type is commonly found in biomedical texts, especially in lists, where multiple biomedical entities are named in shortened form to avoid repeating words. Most text annotation systems, that enable users to view and edit entity annotations, do not support non-contiguous entities. Therefore, experts cannot even visualize non-contiguous entities, let alone annotate them to build valuable datasets for machine learning methods. To combat this problem and as part of the BLAH6 hackathon, we extended the TextAE platform to allow visualization and annotation of non-contiguous entities. This enables users to add new subspans to existing entities by selecting additional text. We integrate this new functionality with TextAE's existing editing functionality to allow easy changes to entity annotation and editing of relation annotations involving non-contiguous entities, with importing and exporting to the PubAnnotation format. Finally, we roughly quantify the problem across the entire accessible biomedical literature to highlight that there are a substantial number of non-contiguous entities that appear in lists that would be missed by most text mining systems.

• 대한의용생체공학회:의공학회지
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• 제41권1호
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• pp.35-41
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• 2020

In this study, we examined whether the systematic literature review method used in the field of evidence-based medicine could be used for post-market clinical evaluation of medical devices by modifying them to fit the regulatory perspective of medical devices in Korea. For this purpose, systematic literature review was modified and applied to conduct a clinical literature survey on the ophthalmic electrosurgical system(Trabectome^®, NeoMediX Corp) used for the treatment of glaucoma. A total of six documents were finally selected, and clinical safety and efficacy information on the indications of the ophthalmic electrosurgical system were effectively presented. In addition, general safety information and unexpected safety information could be distinguished through comparison with medical device adverse event reporting cases. The method used in this study is expected to be used in various ways throughout post-market medical device safety management system and for the purpose of regulation improvement, especially in the field of ophthalmic electrosurgical system.

• 대한핵의학회지
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• 제36권4호
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• pp.261-270
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• 2002

목적: nAChRs의 ${\alpha}_4{\beta}_2$ 아형에 높은 친화력과 선택성을 갖는 리간드인 $2-[^{18}F]fluoro-A85380([^{18}F]1)$의 효율적인 합성과정을 연구하여 방사화학적 수율, 비방사능, 합성시간, 마우스에서 생물학적 평가의 측면에서 문헌에 보고된 결과들과 비교 평가하였다. 대상 밀 방법: 전구물질의 I을 $^{18}F$으로 치환한 다음 중간물질을 분리하지 않고 trifluoroacetic acid를 가하여 보호기를 제거하였다. 반응혼합액을 HPLC로 정제하여 얻은 방사성리간드($[^{18}F]1$)를 마우스의 꼬리 정맥에 주사한 후에 정해진 시간별로 6개의 뇌조직 (소뇌, 해마, 선조체, 피질, 시상, 상구)을 분리하여 무게를 측정하고 감마계수기를 이용하여 방사능을 측정하였다. 또한 스코폴라민, 메카밀아민, 사이티신, (-)니코틴, 비방사성 표준물질(1)을 마우스에 피하주사로 투여하고 방사성리간드 주사 후 90분에 6개의 뇌조직을 분리하여 무게 및 방사능을 측정하여 %ID/g으로 나타내었다. 이 결과를 대조군과 비교하였다. 결과: $^{18}F$ 표지 후 중간물질을 분리하지 않고 한 번의 HPLC 정제를 통하여 $[^{18}F]1$을 15-20%의 방사화학적 수율로 합성하였으며 비방사능은 $38-55GBq/{\mu}mol$이었다. 이 방사성리간드의 마우스 뇌에서의 분포결과, 주사 후 30분에 nAChRs가 풍부하게 분포되어 있는 시상과 상구에서 가장 많은 섭취를 보였고 이 수용체가 부족한 소뇌에는 거의 섭취되지 않았다. 여러 리간드를 사용하여 $[^{18}F]1$ 섭취의 억제효과를 본 실험에서는 nAChRs 작용제인 사이티신 및 (-)니코틴의 전처리가 시상 및 상구에서 $[^{18}F]1$의 섭취를 70-90% 감소시켰으며, 소뇌에서는 억제효과가 관측되지 않았다. 결론: 이 연구에서 사용된 방법으로 얻어진 $[^{18}F]1$의 방사화학적 수율, 비방사능, 뇌에서의 분포 그리고 여러 리간드에 의한 억제효과는 문헌에 보고된 결과와 유사하였다. 따라서 중간물질을 분리하지 않고 한번의 HPLC를 사용하는 방법이 $[^{18}F]1$의 상용생산에 유용하게 사용될 수 있을 것으로 기대한다.

• 대한의용생체공학회:의공학회지
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• 제34권4호
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• pp.182-188
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• 2013

This study aims to develop a practical algorithm which can detect freezing of gait(FOG) in patients with Parkinson's disease(PD). Eighteen PD patients($68.8{\pm}11.1yrs.$) participated in this study, and three($68.7{\pm}4.0yrs.$) of them showed FOG. We suggested two time-domain algorithms(with 1-axis or 3-axes acceleration signals) and compared them with the frequency-domain algorithm in the literature. We measured the acceleration of left foot with a 3-axis accelerometer inserted at the insole of a shoe. In the time-domain method, the root-mean-square(RMS) acceleration was calculated in a moving window of 4s and FOG was defined as the periods during which RMS accelerations located within FOG range. The parameters in each algorithm were optimized for each subject using the simulated annealing method. The sensitivity and specificity were same, i.e., $89{\pm}8%$ for the time-domain method with 1-axis acceleration and were $91{\pm}7%$ and $90{\pm}8%$ for the time-domain method with 3-axes acceleration, respectively. Both performances were better in the time-domain methods than in the frequency-domain method although the results were statistically insignificant. The amount of calculation in the time-domain method was much smaller than in the frequency-domain method. Therefore it is expected that the suggested time domain algorithm would be advantageous in the systematic implementation of FOG detection.

• 한국방사선학회논문지
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• 제16권4호
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• pp.453-462
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• 2022

본 논문에서는 의료 영상 분석 분야에서 이용되고 있는 AI(Artificial Intelligence)기술을 문헌 검토를 통해 분석하였다. 문헌 검색은 중심어(keyword)를 사용하여 PubMed, ResearchGate, Google 및 Cochrane Review의 문헌 검색을 수행했다. 문헌 검색을 통해 114개의 초록을 검색하였고 그 중 16개의 중복된 것을 제외하고 98개의 초록을 검토했다. 검토된 문헌에서 AI가 응용되고 있는 분야는 분류(Classification), 국소화(Localization), 질병의 탐지(Detection), 질병의 분할(Segmentation), 합성 영상의 적합도(Fit degree) 등으로 나타났다. 기계학습(ML: Machine Learning)을 위한 모델은 특징 추출을 한 후 신경망의 네트워크에 특징 값을 입력하는 방식은 지양되는 것으로 나타났다. 그 대신에 신경망의 은닉층을 여러 개로 하는 심층학습(DL: Deep Learning) 방식으로 변화되고 있는 것으로 나타났다. 그 이유는 컴퓨터의 메모리 량의 증가와 계산속도의 향상, 빅 데이터의 구축 등으로 특징 추출을 DL 과정에서 처리하는 것으로 사료된다. AI를 이용한 의료영상의 분석을 의료에 적용하기 위해서는 의사의 역할이 중요하다. 의사는 AI 알고리즘의 예측을 해석하고 분석할 수 있어야 한다. 이러한 이해를 위해서는 현재 의사를 위한 추가 의학 교육 및 전문성 개발과 의대에 재학 중인 학습자를 위한 개정된 커리큘럼이 필요해 보인다.

• Journal of Ginseng Research
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• 제41권2호
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• pp.215-221
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• 2017

Ginseng has been used in China for at least two millennia and is now popular in over 35 countries. It is one of the world's popular herbs for complementary and alternative medicine and has been shown to have helpful effects on cognition and blood circulation, as well as anti-aging, anti-cancer, and anti-diabetic effects, among many others. The pharmacological activities of ginseng are dependent mainly on ginsenosides. Ginsenosides have a cholesterol-like four trans-ring steroid skeleton with a variety of sugar moieties. Nuclear receptors are one of the most important molecular targets of ginseng, and reports have shown that members of the nuclear receptor superfamily are regulated by a variety of ginsenosides. Here, we review the published literature on the effects of ginseng and its constituents on two main sex steroid hormone receptors: estrogen and androgen receptors. Furthermore, we discuss applications for sex steroid hormone receptor modulation and their therapeutic efficacy.

• The Journal of Advanced Prosthodontics
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• 제14권3호
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• pp.182-202
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• 2022

PURPOSE. The aim of this study is to summarize various biomechanical aspects in evaluating the long-term stability of dental implants based on finite element method (FEM). MATERIALS AND METHODS. A comprehensive search was performed among published studies over the last 20 years in three databases; PubMed, Scopus, and Google Scholar. The studies are arranged in a comparative table based on their publication date. Also, the variety of modeling is shown in the form of graphs and tables. Various aspects of the studies conducted were discussed here. RESULTS. By reviewing the titles and abstracts, 9 main categories were extracted and discussed as follows: implant materials, the focus of the study on bone or implant as well as the interface area, type of loading, element shape, parts of the model, boundary conditions, failure criteria, statistical analysis, and experimental tests performed to validate the results. It was found that most of the studied articles contain a model of the jaw bone (cortical and cancellous bone). The material properties were generally derived from the literature. Approximately 43% of the studies attempted to examine the implant and surrounding bone simultaneously. Almost 42% of the studies performed experimental tests to validate the modeling. CONCLUSION. Based on the results of the studies reviewed, there is no "optimal" design guideline, but more reliable design of implant is possible. This review study can be a starting point for more detailed investigations of dental implant longevity.