• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.276-278
• /
• 2022

All drugs have a specific action in the body, and in many cases, drugs are combinated due to complications or new symptoms during existing drug treatment. In this case, unexpected interactions may occur within the body. Therefore, predicting drug-drug interactions is a very important task for safe drug use. In this study, we propose a deep learning-based predictive model that learns using drug information documents to predict drug interactions that may occur when using multiple drugs. The drug information document was created by combining several properties such as the drug's mechanism of action, toxicity, and target using DrugBank data. And drug information document is pair with another drug documents and used as an input to a deep learning-based predictive model, and the model outputs the interaction between the two drugs. This study can be used to predict future interactions between new drug pairs by analyzing the differences in experimental results according to changes in various conditions.

• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.21 no.3
• /
• pp.362-367
• /
• 2012

Though a micro pump is a crucial element in miniaturized bio-fluidic systems or drug delivery systems, most of the conventional micro pumps still have some limitations to miniaturize their controller system and to obtain the sufficient back pressure which can rise over the inner pressure of human body or experimental animals. In this paper, to overcome these limitation, a new PZT disc and its controller were designed and fabricated to get the sufficient flowrate and the back pressure with guaranteeing embeddability of the controller into pumping body. The amplitudes of the disc deflections were as large as 40 ${\mu}m$ at 200 V - 100 Hz condition. As results of experiments, the flow rate and the back pressure increase when the frequency increases. The obtainable maximum flow rate and back pressure are 5.2 ml/min at 95 Hz and 13.14 kPa at 90 Hz respectively.

• Journal of Korean Society for Quality Management
• /
• v.50 no.4
• /
• pp.717-734
• /
• 2022

Purpose: The purpose of this study is to effectively detect violations that occur simultaneously against Good Manufacturing Practice, which were concealed by drug manufacturers. Methods: In this study, we present an analysis framework for analyzing regulatory violation patterns using Association Rule Mining (ARM), Text Mining, and t-distributed Stochastic Neighbor Embedding (t-SNE) to increase the effectiveness of on-site inspection. Results: A number of simultaneous violation patterns was discovered by applying Association Rule Mining to FDA's inspection data collected from October 2008 to February 2022. Among them there were 'concurrent violation patterns' derived from similar regulatory ranges of two or more regulations. These patterns do not help to predict violations that simultaneously appear but belong to different regulations. Those unnecessary patterns were excluded by applying t-SNE based on text-mining. Conclusion: Our proposed approach enables the recognition of simultaneous violation patterns during the on-site inspection. It is expected to decrease the detection time by increasing the likelihood of finding intentionally concealed violations.

• Journal of Acupuncture Research
• /
• v.29 no.2
• /
• pp.29-36
• /
• 2012

The purpose of this article is to review all the wrinkle treatments reported so far, and to introduce a method of dermal subcision, especially localized fine wrinkles. In order to remove wrinkles, laser, ulthera and drug therapy are commonly used in western medicine while Miso facial rejuvenation acupuncture, $Jung-An$ acupuncture and needle-embedding therapy are used in oriental medicine. However, as researches on fine wrinkles have been insufficiently conducted until now. Dermal subcision stated in this study is considered to be a safe and effective way to ameliorate fine linear-shaped wrinkles around or below eyes and mouth by increasing the circulation of qi and blood. also, reproducing dermal layer. More and further related cases and researches are expected in the future.

• Journal of Pharmaceutical Investigation
• /
• v.18 no.1
• /
• pp.23-30
• /
• 1988

The sustained-release micropellets containing rifampicin were prepared by spray congealing micropelleting technique using gelatin as the embedding matrix, and hardened by treating with the formalin-isopropanol mixture. Dissolution of rifampicin from micropellets was significantly retarded, and greatly dependent on formalin concentration, hardening time and pH of the dissolution medium. It was found that this prolongation was more distinguished in pH 1.2 dissolution medium rather than pH 7.4, which might be attributed to the swelling characteristics of gelatin used in the dissolution medium. In-vitro dissolution kinetics indicated that the drug release followed the first-order process.

• Korean Journal of Cognitive Science
• /
• v.28 no.4
• /
• pp.299-314
• /
• 2017

Predicting compound-protein interactions in-silico is significant for the drug discovery. In this paper, we propose an scalable machine learning model to predict compound-protein interaction. The key idea of this scalable machine learning model is the architecture of pairwise neural network model and feature embedding method from the raw data, especially for protein. This method automatically extracts the features without additional knowledge of compound and protein. Also, the pairwise architecture elevate the expressiveness and compact dimension of feature by preventing biased learning from occurring due to the dimension and type of features. Through the 5-fold cross validation results on large scale database show that pairwise neural network improves the performance of predicting compound-protein interaction compared to previous prediction models.

• Journal of Veterinary Clinics
• /
• v.31 no.4
• /
• pp.307-312
• /
• 2014

A 16-year-old female Shih-Tzu, weighing 5 kg, presented with clinical symptoms of abdominal distension and urinary and fecal incontinence. Abdominal palpation detected a large mass. According to the radiographic findings, the bladder had been moved to the umbilicus by the mass and a large abdominal mass was confirmed in the lower abdominal area. Ultrasonography indentified a large heterogeneous mass with heterogeneous parenchyma and a focal anechoic area in the lower abdominal area. The complete blood count abnormalities suggested thrombocytosis and mild neutrophilia, and the serum chemistry indicated an elevated alkaline phosphatase value. During laparotomy, a firm mass that measured $10.5{\times}9.6cm$ was found between the uterine cervix and urinary bladder. The urethra was embedded in the mass. A diagnosis of leiomyosarcoma was established based on histopathology and histochemistry. One week after surgery, urinary retention symptoms that did not appear to be related to mechanical obstruction presented suddenly, but they did not respond to several drug treatments, thus long-term conservative therapy was adopted. The urinary symptoms disappeared on day 27 and the patient started to void large quantities of urine in a smooth and frequent manner. This case report describes the serial changes in the patient's status and the response after surgical remove of the urethra embedding leiomyosarcoma.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.774-777
• /
• 2017

의생명과학분야가 계속 발전됨에 따라 매일 평균 3천여 편에 달하는 방대한 양의 의생명과학분야 문헌들이 나오고 있다. 많은 연구가 진행될수록, 새로이 규명된 관계를 습득하고 체계화하는 일이 연구자와 의료계 종사자들에게 더 중요해지고 있다. 하지만 현재로서는 의생명과학분야에 어느 정도의 지식이 있는 사람이 직접 논문을 읽고 해당 논문에서 밝히고 있는 정보를 정리해야만 하는 상황이며, 이로는 기하급수적으로 쌓이는 정보의 양을 대처하기 어렵다. 이를 해결하기 위해 본 논문에서는 기계 학습을 통한 생명의료 객체관계 자동추출 연구를 이용하여 의생명과학분야의 정보를 체계화 하고자 한다. 본 논문에서는 돌연변이와 약물이 함께 등장하는 논문을 뽑아내어 글을 자연어 문장 단위로 나누었다. 추출한 돌연변이와 약물 간의 관계를 직접 사람에 의해 참거짓을 판명하였고, 해당 데이터셋을 기계학습에 이용하여 돌연변이와 약물 간의 관계를 학습시켰다. 최종적으로 GoogleNews의 기사들로 기학습된 워드임베딩, 의생명과학분야 문헌들을 이용하여 기학습된 워드임베딩을 이용하여 학습의 성능을 비교하였고, 의생명과학-문맥 특이적인 워드임베딩이 갖는 강점을 보고한다. 해당 연구를 통해 실제로 논문을 읽지 않고도 의생명과학분야 논문의 핵심적인 내용을 뽑아내는 자동화 시스템을 구축하는 데에 이바지하고, 의생명공학 연구자들의 연구에 핵심적인 도움이 되는 디딤돌이 되고자 한다.

• The Journal of Dong Guk Oriental Medicine
• /
• v.5
• /
• pp.197-207
• /
• 1996

As a mood-altering drug, long-term alcohol consumption have significant harmful effects on the human body and people's mental functioning. This study observed that the suppression of cell mediated immunity induced in spleen of ICR mouse by long-term alcohol administration. After 8% alcohol voluntary administered for 120 days, the splenic tissue irnmunohistochemically stained by following ABC method that used monoclonal antibody including L3T4(CD4), Ly-2(CD8), IL-2 receptor(CD25R) and NK-1.1(CD56) after embedding with paraffin. The results were as follows. 1. The size of marginal zone in splenic white pulp was diminished and the number of macrophage in marginal zone was decreased in test group than control group. 2. After alcohol administration, the number of Helper T lymphocyte, cytotoxic T lymphocyte, and IL-2 receptor were decreased in periarterial lymphatic sheaths of white pulp and penicilla artery of red pulp and the degree of CD4, CD8, and CD25R positive reaction were soften. 3. In test group, the number of NK cell were decreased. These results indicated that the secretion of lymphokine as IL-2 was inhibited by long-term alcohol administration and subsequently prevent to activate and proliferate splenic T lymphocytes and NK cells as cell mediated immunity component.

• Korean Journal of Community Nutrition
• /
• v.22 no.3
• /
• pp.248-258
• /
• 2017

Objectives: The purpose of the study was to develop a series of education materials as a card news format to provide nutrition information for pregnant and lactating women. Methods: The materials were developed in seven steps. As a first step, the needs of pregnant and lactating women were assessed by reviewing scientific papers and existing education materials, and by interviewing a focus group. The second step was to construct main categories and the topics of information. In step 3, a draft of the contents in each topic was developed based on the scientific evidence. In step 4, a draft of card news was created by editors and designers by editing the text and embedding images in the card news. In step 5, the text, images and sequences were reviewed to improve readability by the members of the project team and nutrition experts. In step 6, parts of the text or images or the sequences of the card news were revised based on the reviews. In step 7, the card news were finalized and released online to the public. Results: A series of 26 card news for pregnant and lactating women were developed. The series covered five categories such as nutrition management, healthy food choices, food safety, favorites to avoid, nutrition management in special conditions for pregnant and lactating women. The satisfaction of 7 topics of the card news was evaluated by 140 pregnant women, and more than 70% of the women were satisfied with the materials. Conclusions: The card news format materials developed in this study are innovative nutrition education tools, and can be downloaded on the homepage of the Ministry of Food and Drug Safety. Those materials can be easily shared in social media by nutrition educators or by pregnant and lactating women to use.