• IMMUNE NETWORK
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• v.20 no.4
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• pp.34.1-34.8
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• 2020

Cryopreservation and thawing of PBMCs are inevitable processes in expanding the scale of experiments in human immunology. Here, we carried out a fundamental study to investigate the detailed effects of PBMC cryopreservation and thawing on transcriptomes. We sorted Tregs from fresh and cryopreserved/thawed PBMCs from an identical donor and performed single-cell RNA-sequencing (scRNA-seq). We found that the cryopreservation and thawing process minimally affects the key molecular features of Tregs, including FOXP3. However, the cryopreserved and thawed sample had a specific cluster with up-regulation of genes for heat shock proteins. Caution may be warranted in interpreting the character of any cluster of cells with heat shock-related properties when cryopreserved and thawed samples are used for scRNA-seq.

• Toxicological Research
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• v.31 no.1
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• pp.49-59
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• 2015

Eye is a highly vascularised organ. There are chances that a foreign substance can enter the systemic circulation through the eye and cause oxidative stress and evoke immune response. Here the eyes of rabbits were exposed, for a period of 7 days, to 5 known ocular irritants: Cetyl pyridinium chloride (CPC), sodium salicylate (SS), imidazole (IMI), acetaminophen (ACT) and nicotinamide (NIC). The eyes were scored according to the draize scoring. Blood collected from the treated rabbit were analyzed for haematological and biochemical parameters. After sacrifice, histological analysis of the eye and analysis of pro-inflammatory biomarkers ($IL-1{\alpha}$, $IL-1{\beta}$, IL-8 and $TNF-{\alpha}$) in the cornea using ELISA was carried out. Spleen was collected and the proliferation capacities of spleenocytes were analyzed. Liver and brain were collected and assessed for oxidative stress. The eye irritation potential of the chemicals was evident from the redness and swelling of the conjunctiva and cornea. Histopathological analysis and ELISA assay showed signs of inflammation in the eye. However, the haematological and biochemical parameters showed no change. Spleenocyte proliferations showed only slight alterations which were not significant. Also oxidative stress in the brain and liver were negligible. In conclusion, chemicals which cause ocular irritation and inflammation did not show any systemic side-effects in the present scenario.

• Journal of radiological science and technology
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• v.43 no.3
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• pp.195-208
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• 2020

Artificial intelligence(AI) is a field of computer science that is defined as allowing computers to imitate human intellectual behavior, even though AI's performance is to imitate humans. It is grafted across software-based fields with the advantages of high accuracy and speed of processing that surpasses humans. Indeed, the AI based technology has become a key technology in the medical field that will lead the development of medical image analysis. Therefore, this article introduces and discusses the concept of deep learning-based medical imaging analysis using the principle of algorithms for convolutional neural network(CNN) and back propagation. The research cases application of the AI based medical imaging analysis is used to classify the various disease(such as chest disease, coronary artery disease, and cerebrovascular disease), and the performance estimation comparing between AI based medical imaging classifier and human experts.

• Korean Journal of Digital Imaging in Medicine
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• v.13 no.2
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• pp.77-81
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• 2011

Due to the increasing quantity of health services demand a wide range of growing medical markets and hospital through advanced, diversification can meet the needs of the patient. This hospital is having the introduction of expensive medical equipment. Because of this, hospitals are struggling to operate the hospital management. Therefore, when operating at the hospital before and after introduction of the most important factor in the interests of medical equipment through the analysis is directly related to hospital operations. CT study of the local clinics, or CR 40 where members of the medical equipment with 54 points against selected practitioners and hospital visits and interviews to investigate the expected benefits of each of the members raised an average of seven months to identify revenue performance caused by interests. Raised against the expected benefits resulting benefits to the overall average 87.43% did not meet the expected benefits. The hospital plans to introduce future when reviewing the medical equipment in consideration of the characteristics of the equipment requires a more solid plan, and whether the plan is properly implemented will be needed for the institutional verification capabilities.

• Journal of Microbiology and Biotechnology
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• v.27 no.2
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• pp.207-218
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• 2017

Clustered regulatory interspaced short palindromic repeats (CRISPR) in association with CRISPR-associated protein (Cas) is an adaptive immune system, playing a pivotal role in the defense of bacteria and archaea. Ease of handling and cost effectiveness make the CRISPR-Cas system an ideal programmable nuclease tool. Recent advances in understanding the CRISPR-Cas system have tremendously improved its efficiency. For instance, it is possible to recapitulate the chronicle CRISPR-Cas from its infancy and inaugurate a developed version by generating novel variants of Cas proteins, subduing off-target effects, and optimizing of innovative strategies. In summary, the CRISPR-Cas system could be employed in a number of applications, including providing model systems, rectification of detrimental mutations, and antiviral therapies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.249-268
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• 2014

Relevance feedback is an effective tool to bridge the gap between superficial image contents and medically-relevant sense in content-based medical image retrieval. In this paper, we propose an interactive medical image search framework based on pairwise constraint propagation. The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold. In contrast to most of the algorithms that only concern manifold structure, the proposed method integrates pairwise constraint information in a feedback procedure and resolves the small sample size and the asymmetrical training typically in relevance feedback. We also introduce a long-term feedback strategy for our retrieval tasks. Experiments on two medical image datasets indicate the proposed approach can significantly improve the performance of medical image retrieval. The experiments also indicate that the proposed approach outperforms previous relevance feedback models.

• Korea Journal of Hospital Management
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• v.15 no.1
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• pp.1-12
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• 2010

This study was tried to evaluate the level of completeness and the accordance in electronic medical records by comparing paper-based medical record in doctor's admission records, discharge summary, and nursing information records. Medical records of inpatients of neurology department that the 100 paper-based medical records in 2004 and 100 electronic medical records in 2006 were targeted. Existence of record items and doctor-nurse record accordance were evaluated in doctor's admission record, discharge summary, admission nursing information record, and discharge nursing information record. There were not any differences between electronic medical records and paper-based medical records in doctor's admission record and discharge summary. Electronic medical records had less missing records than paper-based medical records in admission and discharge nursing information records. Electronic medical records showed higher accordance than the paper-based medical record in doctor-nurse record generally, but there were statistically differences in only medication, allergy, smoking, and drinking (p<0.05). In this study, it was verified that the quality of electronic medical records are better than paper-based records in nursing information record and doctor-nurse record agreement.

• Nuclear Engineering and Technology
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• v.49 no.7
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• pp.1505-1512
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• 2017

Because accelerator-based boron neutron capture therapy (BNCT) systems are planned for use in hospitals, entry into the medical room should be controlled as hospitals are generally assumed to be public and safe places. In this paper, computational investigation of the medical staff effective dose during BNCT has been performed in different situations using Monte Carlo N-Particle (MCNP4C) code and two voxel based male phantoms. The results show that the medical staff effective dose is highly dependent on the position of the medical staff. The results also show that the maximum medical staff effective dose in an emergency situation in the presence of a patient is ${\sim}25.5{\mu}Sv/s$.

• Journal of the military operations research society of Korea
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• v.22 no.1
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• pp.43-66
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• 1996

Many recent changes in medical area such as expansion of medical insurance, high expectation of people for medical service and the competition with foreign country open new area of medical service and hospital managements. Domestic medical personal have been doing their best for better medical service and more efficient hospital management. In other words, they are focusing on the renovation of organization culture, the reform of organization and operation process and building information systems. It has been more than 10 years since the first computer system was introduced in the domestic medical area. We have been trying to build more advance and more friendly computer systems. Recent advances of information technology could make this possible. In this paper, I introduce the system design of Integrated Hospital Information System include core technology, components of the system and important factors to be considered.

• Electronics and Telecommunications Trends
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• v.34 no.5
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• pp.113-126
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• 2019

Based on the accumulation of medical big data, advances in medical artificial intelligence technology facilitate the timely treatment of disease through the reading the medical images and the increase of prediction speed and accuracy of diagnoses. In addition, these advances are expected to spark significant innovations in reducing medical costs and improving care quality. There are already approximately 40 FDA approved products in the US, and more than 10 products with K-FDA approval in Korea. Medical applications and services based on artificial intelligence are expected to spread rapidly in the future. Furthermore, the evolution of medical artificial intelligence technology is expanding the boundaries or limits of various related issues such as reference standards and specifications, ethical and clinical validation issues, and the harmonization of international regulatory systems.