• Biomolecules & Therapeutics
• /
• 제13권4호
• /
• pp.199-206
• /
• 2005

Cell therapy (CT) is a group of techniques to treat human disorders by transplantation of cells which have been processed and propagated independent of the living body. Blood transfusion and bone marrow transplant have been the primary examples of cell therapy. With introduction of stem cell (SC) technologies, however, CT is perceived as the next generation of biologies to treat human diseases such as cancer, neurological diseases, and heart disease. Despite potential of cell therapy, insufficient guidelines have been implemented concerning safety test and regulation of cell therapy. This review addresses the safety issues to be resolved for the cell therapy, especially SC therapy, to be successfully utilized for clinical practice. Adequate donor cell screening must preceed to ensure safety in cell therapy. In terms of SC culture, controlled, standardized practices and procedures should be established. Further molecular studies should be done on SC development and differentiation to enhance safety level in cell therapy. Finally, animal model must be further installed to evaluate toxicity, new concepts, and proliferative potential of SC including alternative feeder layer of animal cells.

• Annals of Clinical Neurophysiology
• /
• 제1권2호
• /
• pp.154-159
• /
• 1999

Magnetoencephalography (MEG), the measurement of magnetic fields produced by neuronal current associated with normal and pathologic brain activities, is a totally noninvasive method for localizing functional regions of the brain. During the past several years, many clinical research centers are working to expand various fundamental functional brain regions, which can be easily localized, as well as to characterize magnetic abnormalities which accompany a wide variety of cerebral disease. At present, MEG is used in a number of clinical centers throughout the world for the presurgical functional localization of eloquent cortex, and for the non-invasive localization of epileptiform activity. And also, non-invasiveness means that it can be used for screening and repetitive follow-up measurement without concern for adverse effects. As procedures for activating various functional brain regions are standardized, and as the effects of specific cerebral diseases on the MEG are carefully documented in controlled studies, the number of routine neurological applications for MEG will increase significantly. In this paper, the basic principles of MEG are reviewed briefly with its clinical application to neurologic disease.

• 한국대기환경학회지
• /
• 제18권6호
• /
• pp.475-485
• /
• 2002

An analytical method was investigated for the meaiiurement of polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) concentrations in air samples. Procedures required for column chromatographic clean up. silicagel (stage I) and gel permeation chromatography (stage II), were discussed. Identification and quantification of PCBs and OCPs were performed using a combination of gas chromatography/mass spectrometry/ selected ion monitoring. Recovery tests calculated from six samples are 68∼137% for PCBs and 58∼130% for OCPs except for endrin aldehyde. Instrumental detection limits determined for the PCBs and OCPs varied from 0.05 to 0.18 pg/m3 and from 0.71 to 16.82 pg/㎥, respectively. The method has been applied to the analysis of air samples collected at Ansung city, Kyonggi province, Korea. This method may serve as a screening protocol for the simultaneous determination of PCBs and OCPs in air.

• 생명과학회지
• /
• 제6권2호
• /
• pp.120-128
• /
• 1996

In the screening of actinomycetes culture filtrate for inhibitor of adenosine deaminase, a novel inhibitor was found in a cultured broth of strain J-144K. The optimum conditions for the adenosine deaminase inhibitor production from the isolated strain J-144K were evaluated. This strain showed the maximum yield of adenosine deaminase inhibitor when grown at pH 7.0 and 30$\circ$C for 60 hours in the medium of 1.0% dextrose, 0.5% yeast extract, 0.5% peptone and 0.1% KH$_{2}$PO$_{4}$ under the aerobic condition. Through the activated charcoal extraction, methanol fractionation, Dowex 50 H$^{+}$ X-8 ion exchange column chromatography, Dowex CI$^{-}$ X-8 ion exchange column chromatography, and Sephadex G-15 gel filtration procedures, this inhibitor was purified with three materials.

• International Journal of Computer Science & Network Security
• /
• 제22권4호
• /
• pp.101-110
• /
• 2022

Histopathological analysis of biopsy specimens is still used for diagnosis and classifying the brain tumors today. The available procedures are intrusive, time consuming, and inclined to human error. To overcome these disadvantages, need of implementing a fully automated deep learning-based model to classify brain tumor into multiple classes. The proposed CNN model with an accuracy of 92.98 % for categorizing tumors into five classes such as normal tumor, glioma tumor, meningioma tumor, pituitary tumor, and metastatic tumor. Using the grid search optimization approach, all of the critical hyper parameters of suggested CNN framework were instantly assigned. Alex Net, Inception v3, Res Net -50, VGG -16, and Google - Net are all examples of cutting-edge CNN models that are compared to the suggested CNN model. Using huge, publicly available clinical datasets, satisfactory classification results were produced. Physicians and radiologists can use the suggested CNN model to confirm their first screening for brain tumor Multi-classification.

• Tuberculosis and Respiratory Diseases
• /
• 제86권3호
• /
• pp.176-182
• /
• 2023

Since the introduction of low-dose computed tomography (CT) screening for patients at high risk of lung cancer, the detection rate of suspicious lung cancer has increased. In addition, there have been many advances in therapeutics targeting oncogenic drivers in non-small cell lung cancer. Therefore, accurate pathological diagnosis of lung cancer, including molecular diagnosis, is increasingly important. This review examines the problems in the pathological diagnosis of suspected lung cancer. For successful pathological diagnosis of lung cancer, clinicians should determine the appropriate modality of the diagnostic procedure, considering individual patient characteristics, CT findings, and the possibility of complications. Furthermore, clinicians should make efforts to obtain a sufficient amount of tissue sample using non- or less-invasive procedures for pathological diagnosis and biomarker analysis.

• 한국의학물리학회지:의학물리
• /
• 제33권2호
• /
• pp.11-24
• /
• 2022

X-ray detection has widely been applied in medical diagnostics, security screening, nondestructive testing in the industry, etc. Medical X-ray imaging procedures require digital flat detectors operating with low doses to reduce radiation health risks. Recently, metal halide perovskites (MHPs) have shown great potential in high-performance X-ray detection because of their attractive properties, such as strong X-ray absorption, high mobility-lifetime product, tunable bandgap, low-temperature fabrication, near-unity photoluminescence quantum yields, and fast photoresponse. In this paper, we review and introduce the development status of new perovskite X-ray detectors and imaging, which have emerged as a new promising high-sensitivity X-ray detection technology. We discuss the latest progress and future perspective of MHP-based X-ray detection in medical imaging. Finally, we compare the conventional detection methods with quantum-enhanced detection, pointing out the challenges and perspectives for future research directions toward perovskite-based X-ray applications.

• Journal of information and communication convergence engineering
• /
• 제21권4호
• /
• pp.281-286
• /
• 2023

Diagnosing reading disorders involves complex procedures to evaluate complex cognitive processes. For an accurate diagnosis, a series of tests and evaluations by human experts are required. In this study, we propose a quantitative tool to diagnose reading disorders based on natural reading behaviors using minimal human input. The eye movements of the third- and fourth-grade students were recorded while they read a text at their own pace. Seven machine learning models were used to evaluate the gaze patterns of the words in the presented text and classify the students as normal or having a reading disorder. The accuracy of the machine learning-based diagnosis was measured using the diagnosis by human experts as the ground truth. The highest accuracy of 0.8 was achieved by the support vector machine and random forest classifiers. This result demonstrated that machine learning-based automated diagnosis could substitute for the traditional diagnosis of reading disorders and enable large-scale screening for students at an early age.

• Clinical and Experimental Pediatrics
• /
• 제51권3호
• /
• pp.225-232
• /
• 2008

The mission of National Health Screening Program for Infant and Children is to promote and improve the health, education, and well-being of infants, children, families, and communities. Although the term 'diagnosis' usually relates to pathology, a similar diagnostic approach applies to the child seen primarily for health supervision. In the case of health, diagnosis determines the selection of appropriate health promoting and preventive interventions, whether medical, dental, nutritional, educational, or psychosocial. Components of the diagnostic process in health supervision include the health 'interview'; assessment of physiological, emotional, cognitive, and social development (including critical developmental milestones); physical examination; screening procedures; and evaluation of strengths and issues. Open and informed communication between the health professional and the family remains the most significant component of both health diagnosis and health promotion. Families complete medical history forms at their health supervision visit. Family-friendly questionnaires, checklists, and surveys that are appropriate for the child's age are additional tools to improve and update data gathering. This type of information helps initiate and inform discussions between the family and the health professional. This article provides a comprehensive review of current National Health Screening Program for Infant and Children in Korea.

• 공업화학
• /
• 제10권8호
• /
• pp.1155-1160
• /
• 1999

본 스크리닝 방법론에서는 저장탱크 및 압력방출장치로부터 누출되는 기상흐름의 누출에 대한 대기분산 모델링 절차가 고려되었다. 본 연구는 화학장치 설비 중 염소 저장탱크의 누출유형에 따른 누출물의 물성자료들을 포함하는 누출원모델, 분산모델, 기상 및 지형자료들을 TSCREEN 모델에 입력시켜 염소가스의 풍하거리에 따른 1시간 평균 최대 지표면 농도를 산출함으로써 유해독성가스의 누출 예측 및 제어를 위한 스크리닝 방법론을 개발하기 위한 것이다. 연구결과로부터, 공기보다 무거운 가스의 분산유형은 누출물의 상태, 누출 조건, 누출물의 물리 화학적특성, 누출유형(연속 및 순간누출)에 영향을 받고 있으며, 특히 누출물의 초기(감압) 밀도 및 누출속도 뿐만 아니라 풍속에 커다란 영향을 받고 있음을 알 수 있다. 특히, 기상조건(대기안정도 및 풍속)에 따른 유해물질의 대기중 누출을 살펴보았다. 본 스크리닝 방법론은 보다 다종다양한 시나리오들을 선정하여 보편적으로 적용할 수 있는 Sliding Scale 방법론을 개발함으로써 정교한 해석 모델의 적용시 예비 가이드라인으로 활용될 수 있으리라 사료된다.