• Journal of Sasang Constitutional Medicine
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• v.36 no.2
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• pp.39-48
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• 2024

Objectives The aim was to develop a method for detecting Sasang constitution based on the ratio of facial landmarks and provide an objective and reliable tool for Sasang constitution classification. Methods Facial images, KS-15 scores, and certainty scores were collected from subjects identified by Korean Medicine Data Center. Facial ratio landmarks were detected, yielding 2279 facial ratio features. Tree-based models were trained to classify Sasang constitution, and Shapley Additive Explanations (SHAP) analysis was employed to identify important facial features. Additionally, Body Mass Index (BMI) and personality questionnaire were incorporated as supplementary information to enhance model performance. Results Using the Tree-based models, the accuracy for classifying Taeeum, Soeum, and Soyang constitutions was 81.90%, 90.49%, and 81.90% respectively. SHAP analysis revealed important facial features, while the inclusion of BMI and personality questionnaire improved model performance. This demonstrates that facial ratio-based Sasang constitution analysis yields effective and accurate classification results. Conclusions Facial ratio-based Sasang constitution analysis provides rapid and objective results compared to traditional methods. This approach holds promise for enhancing personalized medicine in Korean traditional medicine.

• Korean Journal of Oriental Medicine
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• v.14 no.2
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• pp.155-163
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• 2008

State Administration of Traditional Chinese Medicine of the People's Republic of China lead Research on Chao medicine's Constitutional Treatment project by which could involve the following principles. First, constitution can be identified, second, constitution correlates to ones susceptibility to diseases, third, constitution can be harmonized, fourth, prescription made according to ones constitution and patterns. These ideas is originated by Lee Je-ma's theory of Four Constitution Type in "DongEuiSooSeBoWon"(Longetivity and Life Preservation in Eastern Medicine). This is much similar to currents trends of personalized medicine in western medical sciences. Therefore further developing Lee's theory would have significant value on various fields of medicine.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.2
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• pp.35-48
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• 2023

Objective : We studied prognostic biomarkers discovery for lung cancer based on the pattern identification for the personalized Korean medicine. Methods : Using 30 tissue samples, we performed a whole exome sequencing to examine the genetic differences among three groups. Results : The exome sequencing identified among 23,490 SNPs germline variants, 12 variants showed significant frequency differences between Xu and Stasis groups (P<0.0005). As similar, 18 and 10 variants were identified in analysis for Xu vs. Gentleness group and Stasis vs. Gentleness group, respectively (P<0.001). Our exome sequencing also found 8,792 lung cancer specific variants and among the groups identified 6, 34, and 12 variants which showed significant allele frequency differences in the comparison groups; Xu vs. Stasis, Xu vs. Gentleness group, and Stasis vs. Gentleness group. As a result of PCA analysis, in germline data set, Xu group was divided from other groups. Analysis using somatic variants also showed similar result. And in gene ontology analysis using pattern identification variants, we found genes like as FUT3, MYCBPAP, and ST5 were related to tumorigenicity, and tumor metastasis in comparison between Xu and Stasis. Other significant SNPs for two were responsible for eye morphogenesis and olfactory receptor activity. Classification of somatic pattern identification variants showed close relationship in multicellular organism reproduction, anion-anion antiporter activity, and GTPase regulator activity. Conclusions : Taken together, our study identified 40 variants in 29 genes in association with germline difference of pattern identification groups and 52 variants in 47 genes in somatic cancer tissues.

• Journal of Veterinary Science
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• v.25 no.3
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• pp.40.1-40.19
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• 2024

Importance: The creation of robust maternal-embryonic interactions and implantation models is important for comprehending the early stages of embryonic development and reproductive disorders. Traditional two-dimensional (2D) cell culture systems often fail to accurately mimic the highly complex in vivo conditions. The employment of three-dimensional (3D) organoids has emerged as a promising strategy to overcome these limitations in recent years. The advancements in the field of organoid technology have opened new avenues for studying the physiology and diseases affecting female reproductive tract. Observations: This review summarizes the current strategies and advancements in the field of 3D organoids to establish maternal-embryonic interaction and implantation models for use in research and personalized medicine in assisted reproductive technology. The concepts of endometrial organoids, menstrual blood flow organoids, placental trophoblast organoids, stem cell-derived blastoids, and in vitro-generated embryo models are discussed in detail. We show the incorportaion of organoid systems and microfluidic technology to enhance tissue performance and precise management of the cellular surroundings. Conclusions and Relevance: This review provides insights into the future direction of modeling maternal-embryonic interaction research and its combination with other powerful technologies to interfere with this dialogue either by promoting or hindering it for improving fertility or methods for contraception, respectively. The merging of organoid systems with microfluidics facilitates the creation of sophisticated and functional organoid models, enhancing insights into organ development, disease mechanisms, and personalized medical investigations.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.4
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• pp.765-771
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• 2009

The medical informatics for clustering Sasang types with collected clinical data is important for the personalized medicine, but it has not been thoroughly studied yet. The purpose of this study was to examine the usefulness of neural network data mining algorithm for traditional Korean medicine. We used Kohonen neural network, the Self-Organizing Map (SOM), for the analysis of biomedical information following data pre-processing and calculated the validity index as percentage correctly predicted and type-specific sensitivity. We can extract 12 data fields from 30 after data pre-processing with correlation analysis and latent functional relationship analysis. The profile of Myers-Briggs Type Inidcator and Bio-Impedance Analysis data which are clustered with SOM was similar to that of original measurements. The percentage correctly predicted was 56%, and sensitivity for So-Yang, Tae-Eum and So-Eum type were 56%, 48%, and 61%, respectively. This study showed that the neural network algorithm for clustering Sasang types based on clinical data is useful for the sasang type diagnostic test itself. We discussed the importance of data pre-processing and clustering algorithm for the validity of medical devices in traditional Korean medicine.

• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.6
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• pp.376-384
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• 2016

Systems biology is an emerging field aiming at a systems level understanding of living organisms and focusing on the characteristics of the whole network of them. The emergence of systems biology is partly because of the availability of huge amounts of data on organisms and the extensive support of computational technologies as the tools for understanding complex biological systems. The scientific understanding of Korean medicine has been obstructed because of the lack of proper methods examining the complex nature and the unique property of it. However, systems biology could give a chance understanding Korean medicine objectively and scientifically. Pattern classification is a unique tool of Korean medicine to diagnose and treat patients and systems biology would give a useful tool to interpret pattern classification. Various omics technologies has been used to explain the relations between pattern classification and biological factors and then many characteristics of pattern classification in various diseases have been discovered. Therefore, pattern classification could be a bridge to understand the features and differences of western medicine and Korean medicine and it could be a basis to develop pattern-based personalized medicine.

• Journal of Korean Medicine Rehabilitation
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• v.26 no.4
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• pp.23-35
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• 2016

Objectives This systematic review is to support the effectiveness of herbal medicine for the treatment of simple obesity in adults. Methods A total of 8 electronic databases were searched in English, Chinese and Korean. Standard methodologies for the systematic review were used to search, analyze and synthesize data based on NECA's guideline for undertaking systematic review and meta-analyses for intervention. Results After screening 1781 potential articles, we identified 13 randomized controlled trials (RCTs). We conducted a meta-analysis for the study using Bangpungtongsung-san and Taeeumjowi-tang to evaluate the effectiveness of herbal medicines on weight loss compared to placebo control. Both herbs showed positive effect in weight, body mass index and waist circumference. In an analysis comparing herbal effects considering constitutions showed that proper treatment can lower adverse events. Conclusions Our results provide evidence that herbal medicine can be an effective treatment for the obesity compare to placebo or to conventional medicine without serious adverse events. Further study is needed to evaluate effectiveness of herbal medicines considering personalized treatment and its safety.

• Journal of Korean Traditional Oncology
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• v.17 no.2
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• pp.1-16
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• 2012

Background : Integrative cancer treatment is a holistic approach embracing body, mind, and spirit incorporating conventional treatments of surgery, chemotherapy, radiation and personalized complementary treatments. Wheel Balance Therapy (WBT) of East-West Cancer Center(EWCC), Dunsan Oriental Hospital of Daejeon University was developed to balance out all factors involved in cancer care based on the traditional theories of oriental medicine. Objective : This work aims to analytically review literatures on WBT and its related components. Methods : Literatures published from January 1st, 1990 to April 30th, 2011 were reviewed focusing on 4 main components of WBT; herbal medicine, immune activation, anti-cancer diet, and breathing/meditation. Data were retrieved from medical search engines and electronic data bases including Pubmed, Research Information sharing Service (RISS), Korean-studies Information Service System (KISS), China National Knowledge Infrastructure (CNKI), and Korea's National Digital Library (KNDL). Results : In this review, EWCC's most commonly prescribed formulas are explored. The composition of the formulas, their use in clinical settings as well as the background studies and other therapeutic efficacies are explained. Information on incorporating anti-cancer dietary support and breathing and meditation techniques, other therapies practiced as part of the center's integrative cancer care are also covered. Conclusion : WBT based on holistic theories of oriental medicine embracing body, mind, and spirit is expected to further contribute in promotion of cancer patients' quality of life and prolonged survival time.

• Journal of Oriental Neuropsychiatry
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• v.18 no.1
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• pp.37-61
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• 2007

Objective : By examining EEG status in Korean Traditional Medicine (KTM) from the viewpoint of 'form-qi theory(形氣論)', We wish to prepare for the fundamentals of applicability of KTM diagnoses to EEG. In addition, through reinterpretation of existing Western Medicine reports from the viewpoint of KTM, We tried to find out interrelationship between them. Method : In this paper, a methodology applicable to KTM diagnoses of EEG is presented from the EEG features in waveform characteristics, personalized diversity, and cognitive activity reflection. Results : Frequency bands are assigned to corresponding one of the eight trigrams in terms of yin/yang balance, which is analogous with EEG spectrum analysis mostly used in EEG quantification. The amplitude ratio of each EEG for each frequency band gives meaningful index numbers which can be used in EEG data interpretation, and every index number is named after the sixty four hexagrams. These approaches are adopted through both '4-band classification system and '6-band classification system', and applied to pre-existing reported EEG data obtained from normal adults. These analyses show that changes and distribution pattern in the index numbers are observed as a whole on both left-right line and front-back line connecting EEG measurement cephalic electrodes. And differences in distribution pattern of three index numbers deduced from '6-band classification system' are discussed according to constitution. Conclusion : The index numbers introduced here, which are the spectral power ratio for each EEG, are based on KTM yin/yang balance. These index numbers vary according to cephalic location, so its application in terms of traditional meridian theory is strongly expected. The index number distribution also shows different patterns according to constitution.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.371-376
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• 2009

In this article, we reviewed the literature on risk assessment (RA) models with and without molecular genomic markers and the current utility of the markers in the pharmacogenetic field. Epidemiological risk assessment is applied using statistical models and equations established from current scientific knowledge of risk and disease. Several papers have reported that traditional RA tools have significant limitations in decision-making in management strategies for individuals as predictions of diseases and disease progression are inaccurate. Recently, the model added information on the genetic susceptibility factors that are expected to be most responsible for differences in individual risk. On the continuum of health care, from diagnosis to treatment, pharmacogenetics has been developed based on the accumulated knowledge of human genomic variation involving drug distribution and metabolism and the target of action, which has the potential to facilitate personalized medicine that can avoid therapeutic failure and serious side effects. There are many challenges for the applicability of genomic information in a clinical setting. Current uses of genetic markers for managing drug therapy and issues in the development of a valid biomarker in pharmacogenetics are discussed.