• Title/Summary/Keyword: Drug Use

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A Study on the Intention to use the Artificial Intelligence-based Drug Discovery and Development System using TOE Framework and Value-based Adoption Model (TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구)

  • Kim, Yeongdae;Lee, Won Suk;Jang, Sang-hyun;Shin, Yongtae
    • Journal of Information Technology Services
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    • v.20 no.3
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    • pp.41-56
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    • 2021
  • New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

The study of a case about dermatitis exfoliativa by drug eruption (약진(藥疹)으로 박탈성(剝脫性) 피부염(皮膚炎)에 이른 증례(證例) 보고(報告) 1례(例))

  • Jun, Su-Kyung;Kim, Ja-Hye;Kim, Min-Hee;Shin, Sang-Ho;Ko, Woo-Shin;Kim, Hoon;Yoon, Hwa-Jung
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.19 no.1
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    • pp.145-154
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    • 2006
  • A man visited the Dept. of Oriental Medical Ophthalmology & Otolaryngology & Dermatology Hospital, Dong-eui University with the dermatitis exfoliativa by drug eruption. He was suffering from the whole body itching, rubefaction, edema, scale and the feeling a chill. The drug eruption's cause assumed antibiotics. We treated a patient with Oriental Medicines(the herbal medicine of internal use and external use), aroma oils and acupuncture. After four days or so, the itching, rubefaction, edema of the skin was recovered remarkably. After one weeks or so, the scale of the skin disease was improved remarkably, we think that these are good cases to treat with Oriental Medicine, Yeongyopaedog-san. We suggest that Oriental Herb medicines have an effect with the dermatitis exfoliativa and the drug eruption.

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Evaluation of micro jet nozzle using finite elements method (유한요소해석을 이용한 마이크로 분사 노즐 특성 평가)

  • Lim, Dong-Wook;Choi, Doo-Sun;Kim, Tae-min;Park, Jung-Rae;Park, Kyu-Bag;Ham, Hwi-Chan;Kim, Ji-Hun
    • Design & Manufacturing
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    • v.14 no.3
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    • pp.57-62
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    • 2020
  • In the drug delivery system industry, the technology with even split injection becomes important for maximizing efficiency and minimizing the side effects. In conventional drug delivery system, infection can occur due to pain and splashing. Also, various applications are impossible due to disposable use, and it is the reason to avoid to use this system because of the complexity of the driving method. Therefore, in this study, a painless drug delivery device is developed for non-pain with electrical insulation breakdown method. Finite elements analysis was used to evaluate the ejection characteristics of drugs according to the shape of the micro ejection nozzle. The effect of the number of holes in the micro nozzle, the length of the nozzle and the inner shape of the nozzle on the drug discharge characteristics were analyzed.

Reducing Veterinary Drug Residues in Animal Products: A Review

  • Rana, Md Shohel;Lee, Seung Yun;Kang, Hae Jin;Hur, Sun Jin
    • Food Science of Animal Resources
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    • v.39 no.5
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    • pp.687-703
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    • 2019
  • A survey we conducted suggests that the ingestion of veterinary drug residues in edible animal parts constitutes a potential health hazard for its consumers, including, specifically, the possibility of developing multidrug resistance, carcinogenicity, and disruption of intestinal normal microflora. The survey results indicated that antibiotics, parasitic drugs, anticoccidial, or nonsteroidal anti-inflammatory drugs (NSAIDs) are broadly used, and this use in livestock is associated with the appearance of residues in various animal products such as milk, meat, and eggs. We observed that different cooking procedures, heating temperatures, storage times, fermentation, and pH have the potential to decrease drug residues in animal products. Several studies have reported the use of thermal treatments and sterilization to decrease the quantity of antibiotics such as tetracycline, oxytetracycline, macrolides, and sulfonamides, in animal products. Fermentation treatments also decreased levels of penicillin and pesticides such as dimethoate, malathion, Dichlorodiphenyldichloroethylene, and lindane. pH, known to influence decreases in cloxacillin and oxacillin levels, reportedly enhanced the dissolution of antimicrobial drug residues. Pressure cooking also reduced aldrin, dieldrin, and endosulfan in animal products. Therefore, this review provides updated information on the control of drug residues in animal products, which is of significance to veterinarians, livestock producers, and consumer health.

Regulatory innovation for expansion of indications and pediatric drug development

  • Park, Min Soo
    • Translational and Clinical Pharmacology
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    • v.26 no.4
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    • pp.155-159
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    • 2018
  • For regulatory approval of a new drug, the most preferred and reliable source of evidence would be randomized controlled trials (RCT). However, a great number of drugs, being developed as well as already marketed and being used, usually lack proper indications for children. It is imperative to develop properly evaluated drugs for children. And expanding the use of already approved drugs for other indications will benefit patients and the society. Nevertheless, to get an approval for expansion of indications, most often with off-label experiences, for drugs that have been approved or for the development of pediatric indications, either during or after completing the main drug development, conducting RCTs may not be the only, if not right, way to take. Extrapolation strategies and modelling & simulation for pediatric drug development are paving the road to the better approval scheme. Making the use of data sources other than RCT such as EHR and claims data in ways that improve the efficiency and validity of the results (e.g., randomized pragmatic trial and randomized registry trial) has been the topic of great interest all around the world. Regulatory authorities should adopt new methodologies for regulatory approval processes to adapt to the changes brought by increasing availability of big and real world data utilizing new tools of technological advancement.

Analysis of Frequent Therapeutic Duplication Drug Classes Based on National Health Insurance Claimed Data in Korea (국내 건강보험심사청구자료에 근거한 다빈도 치료중복 의약품 약효군 분석)

  • Sohn, Hyun-Soon;Lee, Young-Sook;Choi, Kyung-Eob;Shin, Hyun-Taek
    • Korean Journal of Clinical Pharmacy
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    • v.20 no.3
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    • pp.262-267
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    • 2010
  • Therapeutic duplication of prescriptions is the most frequently reported inappropriate drug use in Korea. To prevent significant problems during drug prescribing and dispensing, prospectively, development of standard including drug lists considered as therapeutic duplications for the prioritized drug classes first would be necessary. This study was aimed to analyze frequent drug classes of therapeutic duplications by healthcare providers in clinical practice settings. National health claims data for drug review and reimbursement (1,426,065 prescriptions dated March 19, 2008) were analyzed. Therapeutic duplication was defined as the prescription including more than 2 ingredients belonging to the same KFDA drug classification numbers that considered to have therapeutic similarities. The following 3 drug classes were mostly frequent therapeutic duplication classes: 114 anti-pyretics, analgesics and anti-inflammatory drugs; 117 drugs for psycho-nervous system; 141 Antihistamines. About 3.5% of overall prescriptions analyzed showed therapeutic duplications. This result might be starting step to develop DUR therapeutic duplication standard.

Current Drug Classification System in Korea and Its Improvement (우리나라의 현행 의약품분류체계에 대한 고찰 및 개선 방안)

  • Sohn, Hyun-Soon;Oh, Ock-Hee;Kim, Jong-Joo;Lee, So-Hyun;Byun, Sun-Hye;Shin, Hyun-Taek
    • Korean Journal of Clinical Pharmacy
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    • v.15 no.2
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    • pp.139-148
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    • 2005
  • Appropriate drug classification is important fur rational drug consumption. This study was conducted to evaluate the appropriateness of current drug classification system and suggest possible ways for improving the system. Nonprescription drug market has been decreased. Since total 27,962 products had been classified (prescription 17,187 vs. nonprescription 10,775 products, 61.5% vs. 38.5%) in July 2000 for implementing separation of drug prescribing and dispensing system, there are no classification changes. Reclassification is not motivated by product holder and regulatory system did not lead classification change either. Consumers' ease access to some nonprescription drugs is demanded. But point of public awareness and cultural and health environmental views, saff drug use rather than advantages from broad supply of nonprescription drugs is more critical. We concluded that current 2-categorized (prescription and nonprescription) drug classification system is appropriate, and addition of general sale category should be approached carefully with long term Preparations such as establishment of better nonprescription drug consuming infrastructure by public information provision and education for improving public medicinal knowledge and strengthening self medication guidance, and review of current classification status of marketed drugs and switching possibilities. For systemizing and encouraging reclassification, introduction of regulatory renewal system as a continuous reevaluation program which is the best way to review appropriateness of drug classification as well as provision of detailed guidance for industry including policy, requirement and process fer reclassification application, are necessary.

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Development of a Quantitative Analytical Method for Determining the Concentration of Human Urinary Paraben by LC-MS/MS

  • Lee, Seung-Youl;Son, Eunjung;Kang, Jin-Young;Lee, Hee-Seok;Shin, Min-Ki;Nam, Hye-Seon;Kim, Sang-Yub;Jang, Young-Mi;Rhee, Gyu-Seek
    • Bulletin of the Korean Chemical Society
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    • v.34 no.4
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    • pp.1131-1136
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    • 2013
  • Parabens, the esters of p-hydroxybenzoic acid, have been widely used as antimicrobial preservatives in cosmetic products, drugs, and processed foods and beverages. However, some parabens have been shown to have weak estrogenic effects through in vivo and in vitro studies. Because such widespread use has raised concerns about the potential human health risks associated with exposure to parabens, we developed a simultaneous analytical method to quantify 4 parabens (methyl, ethyl, propyl, and butyl) in human urine, by using solid-phase extraction and high-performance liquid chromatography coupled with triple quadrupole mass spectrometry. This method showed good specificity, linearity ($R^2$ > 0.999), accuracy (92.2-112.4%), precision (0.9-9.6%, CV), and recovery (95.7-102.0%). The LOQs for the 4 parabens were 1.0, 0.5, 0.2, and 0.5 ng/mL, respectively. This method could be used for quick and accurate analysis of a large number of human samples in epidemiological studies to assess the prevalence of human exposure to parabens.

Invertebrate Models Used for Characterization of Drug Dependence and Development of Anti-Drug Dependent Agents

  • Chang Hyun-Sook;Kim Ha-Won;Lee Dong-Hee
    • Biomolecules & Therapeutics
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    • v.14 no.1
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    • pp.1-10
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    • 2006
  • Drug dependence deals a heavy socioeconomic burden to the society. For adolescents, the damage from drug dependence is greater than adults considering their higher susceptibility to drug effect and increasing chance for violence leading to criminal punishment process. Habitual drug use depends on genetic and environmental factors and the complex interactions between the two. Mammalian model systems have been useful in understanding the neurochemical and cellular impacts of abused drugs on specific regions of the brain, and in identifying the molecular targets of drugs. More elucidation is required whether biological effects of drugs actually cause the habitual dependence at the cellular level. Although there is much insight available on the nature of drug abuse problems, none of the systems designed to help drug dependent individuals is efficient in screening functional ingredients of the drug, and thus resulting in the failure of helping drug dependent individuals recover from drug dependence. Alternative model systems draw the attention of researchers, such as the invertebrate model systems of nematodes (Caenorhabditis elegans) and fruit flies (Drosophila melanogaster). These models should provide new insight into the mechanisms leading to the behavior of drug users (even functional studies analyzing molecular mechanism), and screening useful components to help remove drug dependence among drug users. The relatively simple anatomy and gene expression of the invertebrate model systems should enable researchers to coordinate current knowledge on drug abuse. Furthermore, the invertebrate model systems should facilitate advance in experiments on the susceptibility of specific genetic backgrounds and the interaction between genetic factors to drug dependence.

The Metformin Use and Gastric Cancer Risk (메트포르민의 사용과 위암 발생)

  • Kim, Young-Il
    • Journal of Digestive Cancer Reports
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    • v.8 no.2
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    • pp.97-101
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    • 2020
  • Metformin is a widely used first-line anti-diabetic drug worldwide. Epidemiologic studies using the large population-based cohort database have shown the association between metformin uses and reduced risk of various type cancers including gastric cancer. In the gastric cancer prevention, metformin use was associated with the significant reduction of gastric cancer risk, especially for long-term metformin users. However, there is no well-designed randomized controlled clinical trial investigating the effect of metformin as a chemopreventive drug for gastric cancer. Therefore, further well-designed clinical trials will be needed to implement metformin for chemoprevention of gastric cancer.