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Intelligent Precision Healthcare Convergence

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
IPH5018 Clinical National Language Processing 3 6 Major Master/Doctor - No
Electronic Medical Records (EMR) in hospitals consist of narrative free-texts. To implement and apply clinical decision support system in the hospital information system and to develop medical AI software, clinical natural language processing (clinical NLP) is necessary. This class will cover the broad area of clinical NLP such as basic natural language processing techniques, the specialized clinical NLP, and BERT in the recent deep learning technologies.
IPH5019 Cancer Precision Medicine 3 6 Major Master/Doctor 1-8 - No
The next wave in medicine in the next two or three decades is cancer precision medicine. Cancer precision medicine includes genomics, multi-omics, early detection using cutting edge technologies which will subsequently enhance survival of cancer patients globally. In light of this, this course will prepare clinicians, clinical scientists and scientists for translational research and clinical research tools.
IPH5020 Neurovascular Coupling: From micro-level to macro-level 3 6 Major Master/Doctor 1-8 - No
Neurovascular coupling is the most basic function of brain. Signals can be obtained from functional magnetic resonance imaging, which is a popular neuroimaging technique, are also based on neurovascular coupling. In this class, we will study neurovascular coupling from micro scale to macro scale. We will discuss cellular and molecular basis of neurovascular coupling.
IPH5021 Neurological Disease & Neuroimaging 3 6 Major Master/Doctor 1-8 - No
Although bio-medical science is evolving rapidly, neuro-degenerative diseases, such as Alzheimer's disease, remain a challenge to be overcome, In this class, we will discuss the mechanism of neurological diseases and research methods in relation to neuroimaging methodology. Due to the nature of neuroimaging, big-data based image analysis and interpretation will be discussed.
IPH5022 Methods for developing fMRI-based biomarkers 2 3 6 Major Master/Doctor 1-4 - No
In this class, we will review some advanced fMRI data analysis methods and try to actually run the analyses on sample datasets. In addition, we will cover the techniques for developing fMRI-based biomarkers. We will specifically focus on the analysis methods that has not been covered by “Methods for developing fMRI-based biomarkers 1” class.
IPH5023 Methods for developing fMRI-based biomarkers 1 3 6 Major Master/Doctor - No
In this class, we will review some advanced fMRI data analysis methods and try to actually run the analyses on sample datasets. In addition, we will cover the techniques for developing fMRI-based biomarkers.
IPH5024 Introduction to Intelligent Precision Healthcare 3 6 Major Master/Doctor - No
This course is to foster understanding on intelligent precision healthcare, which is very important for future medicine. It consists of the following three flexible platforms: intelligent multiscale signal generation, intelligent precision marker and analysis for pathological diseases, and intelligent target therapy and artificial body. This course is designed to help students to understand the above, corresponding subjects and develop their own ideas for researches.
IPH5025 Human brain mapping with fMRI 1 3 6 Major Master/Doctor - No
Functional magnetic resonance imaging (fMRI) is one of the main imaging techniques to produce medial imaging data for prediction and diagnosis in precision medicine. This course will focus on how fMRI is used to understand human brain function. We will examine what fMRI is, how the machine works, and how fMRI data is generated and processed. Lectures and hands-on labs will be combined. By learning principles, experimental designs, analysis methods, and sample applications, students are expected to be better equipped to understand the literature in MR-based neuroimaging and to conduct their own studies.
IPH5026 Tissue engineering in precision medicine 3 6 Major Master/Doctor English Yes
Tissue engineering is an interdisciplinary field utilizing the engineering of cells, biomaterials, and biomolecular signals for efficient tissue regeneration and disease treatment. In this class, general principles of tissue engineering and recent technologies applied in the advanced tissue engineering field will be mainly introduced. In addition, novel tissue engineering-related research outcomes for precision medicine will be discussed.
IPH5027 Microfluidic chip design and fabrication 3 6 Major Master/Doctor - No
The main objective of the course is to introduce microfluidic platforms used for the study of cellular biology to graduate students having backgrounds in either medicine or engineering. The course should familiarize the students with the techniques used in microfludics and various cell biology. The principles and cell-based applications of microfluidics will be reviewed. Students will perform laboratory exercises designed to (1) culture cells and manipulate cellular microenvironments in the platforms (2) employ the platforms for cellular assay.
IPH5028 3D printed chip design and fabrication. 3 6 Major Master/Doctor English Yes
The main objective of the course is to introduce 3D bioprinting used in lab-on-chips to graduate students having a background in engineering. The course should familiarize the students with the techniques used in 3D bioprinting and show them how 3D printing technology pervades throughout various regenerative medicine. 3D bio-/nonbio- printing techniques, biomaterials, cell culture will be reviewed. Students will perform laboratory exercises designed to (1) design, model 3D printed chip, (2) manufacture, use 3D printed chips in experiments.
IPH5029 Stem cell engineering in precision medicine 3 6 Major Master/Doctor - No
Stem cell plays pivotal roles in maintaining functionality of various organs in our body through self-renew, proliferation and differentiation. It has been highlighted as a key factor in the development of biomedical applications such as cell therapy and drug screening. This class mainly aims to understand and discuss about stem cells and their applications in precision medicine and regenerative medicine.
IPH5030 precision medicine in brain aging and dementia 3 6 Major Master/Doctor - No
Due to the recent increase in the elderly population, interest in brain aging and dementia is gradually increasing. In particular, it is possible to predict them through biomarkers or brain images, and the accuracy is further increased with the development of artificial intelligence technology. On the other hand, with the development of genome analysis, it has become possible to develop individualized prediction algorithms for each individual. Through these lectures, I will cover following subjects: 1) general concepts of brain aging and dementia, 2) biomarkers of brain aging and dementia and development of brain imaging technology, 3) clinical application of artificial intelligence technology to brain aging and dementia, and 4) genomic technology.
IPH5031 Practice on Optimization of Biomedical Systems 3 6 Major Master/Doctor - No
This lecture is designed to address the needs or questions raised from real industries or academia. During the class, only high level subjects about the optimization of medical systems will be suggested, and the detail goal and plans will be come out of brainstorm as a team. And then students should find solutions to address the explored problems came out of the discussions and needs to submit the final reports structured like a peer-reviewed research paper.
IPH5032 Nanophotonics and Its Biomedical Applications 3 6 Major Master/Doctor English Yes
In this lecture, we will learn theoretical knowledge related to the interaction of light and nanomaterials and its biomedical application technology. Specifically, after learning the basics related to optics, electromagnetism, and quantum mechanics, we will deal with various topics such as quantum emitters, photonic crystals, surfaces plasmons, and metamaterials. In addition, biomedical application technologies such as optical microscopy, spectroscopy, and nanobiosensor using each technology will be introduced.