• 대한두경부종양학회:학술대회논문집
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• 대한두경부종양학회 2009년도 추계학술대회 논문집
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• pp.190-190
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• 2009

• 한국응용약물학회:학술대회논문집
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• 한국응용약물학회 2005년도 추계학술대회
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• pp.19-20
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• 2005

• 대한약학회:학술대회논문집
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• 대한약학회 2001년도 Proceedings of International Convention of the Pharmaceutical Society of Korea
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• pp.96-96
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• 2001

• 대한통합의학회지
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• 제3권1호
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• pp.41-51
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• 2015

Purpose: The purpose of this study was to investigate the effects of personalized residential environment improvement on occupational performance satisfaction and activities of daily living(ADL) in stroke patients, and desire to use as the basis for presenting an effective method for improving the residential environment of the disabled patients. Method: This study has been carried out with 3 stroke patients undergoing therapy for rehabilitation at the S hospital from August 2014 to January 2015. Residential environment improvement was conducted based on the desired space. Occupational performance, satisfaction and ADL assessed by modified COPM, K-MBI. Intervention has provided grab bar and aids fit to the environment of each person. Result: After residential environment improvement, ADL score was improved, but improved scores for specific items only. In occupational performance and satisfaction, there was a significant difference. Conclusion: The results of this study were to find out that there is a positive effect of personalized residential environment improvement on occupational performance satisfaction and activities of daily living in stroke patients, could be used as a basis for presenting an effective way to residential environment improvement of the disabled patients.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1661-1664
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• 2013

Recently there have been numerous advances in understanding the genetic basis of cancer which have resulted in more appropriate treatments. In this paper we describe the experience of the Burzynski Clinic, involved in treatment of numerous patients based on personalized approach using novel combinations for difficult-to-treat malignancies, with gynecological cancers. This retrospective study was conducted by extracting data from Burzynski Clinic's medical records and comprehensive review. Among the advanced refractory ovarian cancers cases (N=33), an objective response (OR) was found in 42.4%. We anticipate that with improved technology and novel therapeutics this rate will increase and adverse events will be reduced.

• Journal of Gastric Cancer
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• 제13권3호
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• pp.129-135
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• 2013

Gastric cancer is the second leading cause of cancer-related deaths worldwide. In advanced and metastatic gastric cancer, the conventional chemotherapy with limited efficacy shows an overall survival period of about 10 months. Patient specific and effective treatments known as personalized cancer therapy is of significant importance. Advances in high-throughput technologies such as microarray and next generation sequencing for genes, protein expression profiles and oncogenic signaling pathways have reinforced the discovery of treatment targets and personalized treatments. However, there are numerous challenges from cancer target discoveries to practical clinical benefits. Although there is a flood of biomarkers and target agents, only a minority of patients are tested and treated accordingly. Numerous molecular target agents have been under investigation for gastric cancer. Currently, targets for gastric cancer include the epidermal growth factor receptor family, mesenchymal-epithelial transition factor axis, and the phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin pathways. Deeper insights of molecular characteristics for gastric cancer has enabled the molecular classification of gastric cancer, the diagnosis of gastric cancer, the prediction of prognosis, the recognition of gastric cancer driver genes, and the discovery of potential therapeutic targets. Not only have we deeper insights for the molecular diversity of gastric cancer, but we have also prospected both affirmative potentials and hurdles to molecular diagnostics. New paradigm of transdisciplinary team science, which is composed of innovative explorations and clinical investigations of oncologists, geneticists, pathologists, biologists, and bio-informaticians, is mandatory to recognize personalized target therapy.

• 한국한의학연구원논문집
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• 제15권3호
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• pp.35-43
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• 2009

Introduction : Interests in personalized medicine or tailored medicine is growing in recent years, but traditional medicine with properties of tailored medicine have already been developing from many parts of the world. In this review paper, we tried to investigate the current research status and characteristics of traditional constitutional medicine by a comparative study. Methods and Material : We compared Sasang medicine from Korea, Ikkando medicine from Japan, Chinese constitutional medicine, Ayurveda from India. We investigated the current research status by searching academic DBs such as Medline, Riss4u, Kiss, CNKI, CINII. Then we examined characteristics of each medicine from various aspects of physiology-pathology-diagnosis-treatment-prevention. Results : We found out that each constitutional medicine is being studied the most in their native land. In addition, after analysing characteristics of these constitutional medicine, we learned that Sasang medicine and Ayurveda were putting emphasis on psychological factors in physiology-pathology-diagnosis-treatment-prevention, while Chinese constitutional medicine and Ikkando medicine were focusing on pathological factors. Discussion : We studied theories of constitutional medicine in various traditional medicine, and verified that Sasang medicine shares similarities and differences with these medicine. We suggest that deeper understandings of other constitutional medicine and attempts at clinical application can lead to advance of Sasang medicine.

• 대한예방한의학회지
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• 제21권2호
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• pp.1-13
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• 2017

Objectives : This paper serves to explore current trends of systems biology in Traditional Chinese Medicine (TCM) and examine how it may influence the Traditional Korean medicine. Methods : Literature review method was collectively used to classify Introduction to systems biology, diagnosis and syndrome classification of systems biology in TCM perspective, physiotherapy including acupuncture, herbs and formula functions, TCM systems biology, and directions of academic development. Results : The term 'Systems biology' is coined as a combination of systems science and biology. It is a field of study that tries to understand living organism by establishing a theory based on an ideal model that analyzes and predicts the desired output with understanding of interrelationships and dynamics between variables. Systems biology has an integrated and multi-dimensional nature that observes the interaction among the elements constructing the network. The current state of systems biology in TCM is categorized into 4 parts: diagnosis and syndrome, physical therapy, herbs and formulas and academic development of TCM systems biology and its technology. Diagnosis and syndrome field is focusing on developing TCM into personalized medicine by clarifying Kidney yin deficiency patterns and metabolic differences among five patterns of diabetes and analyzing plasma metabolism and biomarkers of coronary heart disease patients. In the field of physical therapy such as acupuncture and moxibustion, researchers discovered the effect of stimulating acupoint ST40 on gene expression and the effects of acupuncture on treating functional dyspepsia and acute ischemic stroke. Herbs and formulas were analyzed with TCM network pharmacology. The therapeutic mechanisms of Si Wu Tang and its series formulas are explained by identifying potential active substances, targets and mechanism of action, including metabolic pathways of amino acid and fatty acid. For the academic development of TCM systems biology and its technology, it is necessary to integrate massive database, integrate pharmacokinetics and pharmacodynamics, as well as systems biology. It is also essential to establish a platform to maximize herbal treatment through accumulation of research data and diseases-specific, or drug-specific network combined with clinical experiences, and identify functions and roles of molecules in herbs and conduct animal-based studies within TCM frame. So far, few literature reviews exist for systems biology in traditional Korean medicine and they merely re-examine known efficacies of simple substances, herbs and formulas. For the future, it is necessary to identify specific mechanisms of working agents and targets to maximize the effects of traditional medicine modalities. Conclusions : Systems biology is widely accepted and studied in TCM and already advanced into a field known as 'TCM systems biology', which calls for the study of incorporating TCM and systems biology. It is time for traditional Korean medicine to acknowledge the importance of systems biology and present scientific basis of traditional medicine and establish the principles of diagnosis, prevention and treatment of diseases. By doing so, traditional Korean medicine would be innovated and further developed into a personalized medicine.

• 동의생리병리학회지
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• 제24권4호
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• pp.722-726
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• 2010

This study was to examine the neuroticism related to psychological characteristics of each Sasang types using SCL-90-R with 107 students from College of Oriental Medicine, Daeguhaani University. We did ANOVA analysis with seven neuroticism-related sub-scales and found significant differences in somatization (F=3.701, p=0.028) and hostility (F=4.396, p=0.015). The post-hoc analysis showed that the So-Yang type ($23.17{\pm}8.95$) has significantly (p=0.048, p=0.012) higher score than Tae-Eum ($19.25{\pm}5.97$) and So-Yang($19.25{\pm}5.76$) type in somatization. In hostility, the So-yang type ($11.31{\pm}3.98$) has significantly (p=0.011, p=0.015) higher score than Tae-Eum ($8.80{\pm}2.61$) and So-Eum ($9.44{\pm}3.35$) type. The ANOVA analysis with female subjects found significant differences in anxiety (F=3.88, p=0.03) and hostility (F=5.04, p=0.01). The post-hoc analysis showed that the So-Yang type ($20.36{\pm}5.44$, $12.36{\pm}3.82$) has significantly (p=0.043, p=0.015) higher score compared to the So-Eum type ($15.46{\pm}3.36$, $8.69{\pm}2.06$) in anxiety and hostility. The profile analysis using seven neuroticism-related subscalesof SCL-90-R did not revealed significant differences (Flatness with Greenhouse-Geisser (F=202.347, p=0.0001), Parallelism with Greenhouse-Geisser (F=1.428, p=0.191)). We discussed the implications of neuroticism in Sasang typology and SCL-90-R somatization, anxiety and hostility scales. This study showed opposite results compared to the previous studies that So-Eum type has higher neuroticism compared to the So-Yang and Tae-Eum type. The reason for this discrepancy between this and previous studies, and differences between male and female should be examined thoroughly with larger and balanced sample.

• International journal of advanced smart convergence
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• 제13권3호
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• pp.150-155
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• 2024

Genomic data plays a transformative role in medicine, biology, and forensic science, offering insights that drive advancements in clinical diagnosis, personalized medicine, and crime scene investigation. Despite its potential, the integration and analysis of diverse genomic datasets remain challenging due to compatibility issues and the specialized nature of existing tools. This paper presents the GenomeSync system, designed to overcome these limitations by utilizing the Hadoop framework for large-scale data handling and integration. GenomeSync enhances data accessibility and analysis through SQL-based search capabilities and machine learning techniques, facilitating the identification of genetic traits and the resolution of forensic cases. By pre-processing DNA profiles from crime scenes, the system calculates similarity scores to identify and aggregate related genomic data, enabling accurate prediction models and personalized treatment recommendations. GenomeSync offers greater flexibility and scalability, supporting complex analytical needs across industries. Its robust cloud-based infrastructure ensures data integrity and high performance, positioning GenomeSync as a crucial tool for reliable, data-driven decision-making in the genomic era.