• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.34 no.4
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• pp.450-455
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• 2008

A Single Nucleotide Polymorphism (SNP) is a small genetic change or variation that can occur within a DNA sequence. It's the difference of one base at specific base pair position. SNP variation occurs when a single nucleotide, such as an A, replaces one of the other three nucleotide letters-C, G, or T. On average, SNP occur in the human population more than 1 percent of the time. They occur once in every 300 nucleotides on average, which means there are roughly 10 million SNPs in the human genome. Because SNPs occur frequently throughout the genome and tend to be relatively stable genetically, they serve as excellent biological markers. They can help scientists locate genes that are associated with disease such as heart disease, cancer, diabetes. They can also be used to track the inheritance of disease genes within families. SNPs may also be associated with absorbance and clearance of therapeutic agents. In the future, the most appropriate drug for an individual could be determined in advance of treatment by analyzing a patient's SNP profile. This pharmacogenetic strategy heralds an era in which the choice of drugs for a particular patient will be based on evidence rather than trial and error (so called "personalized medicine").

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.609-616
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• 2001

Today, as the Internet is popularized, information and news retrieval are generalized. However due to the tremendous amount and variety of information, many users appeal the difficulties of information retrieval. Thus in this paper, we propose a news retrieval system, which filters news articles using an intelligent agent with the learning ability of BPN (back propagation neural network). This system also uses a profile to accomodate the personalized news retrieval. This system consists of two major agents, collection agent and learning agent. The collection agent gathers the articles from several news sites, analyzes them, and stores into a database. The learning agent builds the BPN based on the personalized data. In addition, considering the popularity of the wireless internet due to the rapid development of communication technologies, we made this system provide the service through the wireless internet.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.1-12
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• 2004

In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.9045-9047
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• 2014

There have been overwhelming advances in molecular oncology and data obtained through high-throughput technologies have started to shed light on wide ranging molecular mechanisms that underpin cancer progression. Increasingly it is being realized that marine micro-organisms and the biodiversity of plankton are rich sources of various anticancer compounds. Marine derived compounds play major roles in inducing apoptosis in cancer cells. More importantly, various agents have been noted to enhance TRAIL induced apoptosis in cancer cells by functionalizing intrinsic and extrinsic pathways. In this commentary, a list of marine derived compounds reported to induce apoptosis is discussed.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2379-2381
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• 2014

It is becoming progressively more understandable that phytochemicals derived from edible plants have shown potential in modelling their interactions with their target proteins. Rapidly accumulating in-vitro and in- vivo evidence indicates that anthocyanins have anticancer activity in rodent models of cancer. More intriguingly, evaluation of bilberry anthocyanins as chemopreventive agents in twenty-five colorectal cancer patients has opened new window of opportunity in translating the findings from laboratory to clinic. Confluence of information suggests that anthocyanins treated cancer cells reveal up-regulation of tumor suppressor genes. There is a successive increase in the research-work in nutrigenomics and evidence has started to shed light on intracellular-signaling cascades as common molecular targets for anthocyanins. In this review we bring to l imelight how anthocyanins induced apoptosis in cancer cells via activation of extrinsic and intrinsic pathways.

• Toxicological Research
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• v.30 no.1
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• pp.1-5
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• 2014

Xenograft models of human cancer play an important role in the screening and evaluation of candidates for new anticancer agents. The models, which are derived from human tumor cell lines and are classified according to the transplant site, such as ectopic xenograft and orthotopic xenograft, are still utilized to evaluate therapeutic efficacy and toxicity. The metastasis model is modified for the evaluation and prediction of cancer progression. Recently, animal models are made from patient-derived tumor tissue. The patient-derived tumor xenograft models with physiological characters similar to those of patients have been established for personalized medicine. In the discovery of anticancer drugs, standard animal models save time and money and provide evidence to support clinical trials. The current strategy for using xenograft models as an informative tool is introduced.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.43-49
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• 2000

The World Wide Web has become a vast information resource where virtually any information can be found. There is a pressing need for appropriate Web search tools due to the very vastness of information space, the rate of growth, and the volatility of data. The agent technology has been studied to address these issues and led to the creation of an adaptive, Proactive. personalized search tools. This study looks into the mechanism of collaborative filtering of information and suggests a decentralized collaborating agents model for information discovery.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.49-53
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• 2010

e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.

• Convergence Security Journal
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• v.8 no.4
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• pp.81-89
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• 2008

This paper introduces u-learning service model based on context awareness. Also, it concentrates on agent-based WPAN technology, OSGi based middleware design, and the application mechanism such as context manager/profile manager provided by agents/server. Especially, we'll introduce the meta structure and its management algorithm, which can be updated with learning experience dynamically. So, we can provide learner with personalized profile and dynamic context for seamless learning service. The OSGi middleware is applied to our meta structure as a conceptual infrastructure.

• Tuberculosis and Respiratory Diseases
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• v.82 no.3
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• pp.179-189
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• 2019

Although recent advances in molecular targeted therapy and immuno-oncology have revolutionized the landscape of lung cancer therapeutics, cytotoxic chemotherapy remains an essential component of lung cancer treatment. Extensive evidence has demonstrated the clinical benefit of chemotherapy, either alone or in combination with other treatment modalities, on survival and quality of life of patients with early and advanced lung cancer. Combinational approaches with other classes of anti-neoplastic agents and new drug-delivery systems have revealed promising data and are areas of active investigation. Chemotherapy is recommended as a standard of care in patients that have progressed after tyrosine kinase inhibitors or immune checkpoint inhibitors. Chemotherapy remains the fundamental means of lung cancer management and keeps expanding its clinical implication. This review will discuss the current position and future role of chemotherapy, and specific consideration for its clinical application in the era of precision medicine.