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For Researcher

Pathology

Pathology
교실 이름, 특징, 전망, 담당 교수 소개
Name 병리학교실 病理學敎室 Department of Korean Pathology
Laboratory Introduction The Department of Korean Pathology aims to scientifically identify the causes, progression mechanisms, and treatment responses of diseases. By integrating traditional Korean Medicine (KM) diagnostic theories with clinical big data and cutting-edge research methodologies, we strive to establish Evidence-Based Korean Medicine (EBKM).


We utilize advanced techniques such as molecular biology, in vitro/in vivo experiments, omics-based analysis, systems biology, and network pharmacology to elucidate the efficacy and mechanisms of key KM therapies, including herbal medicine, acupuncture, herbal acupuncture, moxibustion, and cupping. Through these efforts, we provide scientific evidence and validate therapeutic strategies across various fields, including anti-cancer, anti-diabetes, anti-inflammation, anti-oxidation, anti-aging, and skin disease improvement.


Furthermore, we have developed a proprietary Oculus-based VR clinical simulation program, allowing students to repeatedly practice diagnostic and treatment processes in a realistic environment. Our curriculum also strengthens clinical application skills through hands-on training with modern diagnostic devices (blood tests, Ryodoraku, laser, high-frequency, ultrasound) and traditional KM medical devices.


The department provides systematic training in literature searching, research design, data analysis, and manuscript writing, empowering students to organically connect the latest trends in biomedical science with the strengths of Korean Medicine.
Key Features • Big Data Research: Disease diagnosis and pathological research based on KM clinical big data.
• Scientific Validation: Identifying the efficacy and mechanisms of herbal medicine, acupuncture, moxibustion, and cupping.
• Specialized Fields: Intensive research on anti-cancer, anti-diabetes, anti- inflammation, anti-oxidation, anti-aging, and skin diseases.

• Advanced Methodologies: Utilizing molecular biology, omics, and network pharmacology.

• Innovative Education: Developing and training with VR-based clinical simulation programs.
• PracticalTraining:Integratededucationusingmodern diagnostic/therapeutic equipment and KM medical devices.
• Research Excellence: Systematic education on literature search, academic writing, and research methodology.
Future Outlook • Establishing an evidence-based system for KM diagnosis and treatment.

• Promoting scientific standardization and global competitiveness of KM medical technologies.

• Leading convergent KM research by leveraging clinical big data and advanced technology.
• Cultivating future-oriented KM researchers and clinicians equipped with both clinical and research excellence.
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