Seyoung Jung
Seoul National University · Medicine
About the Lab
Professor Seyoung Jung's research lab specializes in biomedical imaging and clinical pharmacology, with a focus on improving diagnostic accuracy in prostate cancer using advanced MRI techniques such as diffusion-weighted and T2-weighted imaging. The lab also investigates drug metabolism and pharmacokinetics, particularly the role of cytochrome P450 enzymes like CYP3A in psychotropic drug disposition. Additionally, the lab applies mathematical modeling and epidemiological analysis to understand infectious disease dynamics, such as the spread of COVID-19 in South Korea. Their work bridges clinical medicine, pharmacology, and data science to address public health challenges.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Use of diffusion-weighted imaging in addition to T2-weighted imaging improved detection of prostate cancer in the transition zone, and tumor ADCs were inversely associated with tumor Gleason scores in the transition zone.
ClinicalTrials.gov NCT03200119; https://clinicaltrials.gov/ct2/show/NCT03200119 (Archived by WebCite at http://www.webcitation.org/6v01HaCdd).
Our results provide in vivo evidence of the involvement of CYP3A in the disposition of risperidone and 9-hydroxyrisperidone. In addition to CYP2D6, treatment with CYP3A inhibitor(s) including itraconazole may influence clinical symptoms and risperidone side effects.
Abstract Mathematical modeling is a process aimed at finding a mathematical description of a system and translating it into a relational expression. When a system is continuously changing over time (e.g., infectious diseases) differential equations, which may include parameters, are used for modeling the system. The process of finding those parameters that best fit the given data from the system is called an inverse problem. This study aims at analyzing the novel coronavirus infection (COVID-19)
OBJECTIVES: To assess the association between secondhand smoke exposure and blood lead and cadmium concentration in women in South Korea. DESIGN: Population-based cross-sectional study. SETTING: South Korea (Korea National Health and Nutrition Examination Survey V). PARTICIPANTS: 1490 non-smoking women who took part in the fifth Korea National Health and Nutrition Examination Survey (2010-2012), in which blood levels of lead and cadmium were measured. PRIMARY OUTCOME MEASURES: The primary outcom
BACKGROUND: Despite the rapid adoption of electronic health records (EHRs) resulting from the reimbursement program of the US government, EHR adoption in behavioral hospitals is still slow, and there remains a lack of evidence regarding barriers and facilitators to the implementation of mental health care EHRs. OBJECTIVE: The aim of this study is to analyze the experience of mental health professionals to explore the perceived barriers, facilitators, and critical ideas influencing the implementa
This is the first study to examine the factors related to integration of lifelog data from Samsung S-Health and Apple Health apps into EMR-tethered PHRs and factors related to the retrieval of medical documents from PHRs. Our findings on the lifelog data integration can be used to design PHRs as a platform to integrate lifelog data in the future.
BACKGROUND: The COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend. OBJECTIVE: The aim of this study was to develop a precise spread model of COVID-19 with time-dependent parameters via deep learning to respond promptly to the dynamic situation of the outbreak and proactively minimize damage. METHODS: In this study, we inves
BACKGROUND: Although the electronic health record system adoption rate has reached 96% in the United States, implementation and usage of health information exchange (HIE) is still lagging behind. Blockchain has come into the spotlight as a technology to solve this problem. However, there have been no studies assessing the perspectives of different stakeholders regarding blockchain-based patient-centered HIE. OBJECTIVE: The objective of this study was to analyze the awareness among patients, heal
BACKGROUND: Adverse drug events (ADEs) resulting from medication error are some of the most common causes of iatrogenic injuries in hospitals. With the appropriate use of medication, ADEs can be prevented and ameliorated. Efforts to reduce medication errors and prevent ADEs have been made by implementing a medication decision support system (MDSS) in electronic health records (EHRs). However, physicians tend to override most MDSS alerts. OBJECTIVE: In order to improve MDSS functionality, we must
Patients with a greater number of chronic diseases tended to use PHR more actively, and used the self-administered function. Women and the elderly may have lower tendencies to actively use PHR. Therefore, items specific to the health of each demographic-women, the elderly, and those with chronic diseases-should be carefully considered to support sustainable use of PHRs.
BACKGROUND: Despite the clinical importance of sepsis-associated acute kidney injury (SA-AKI), little is known about its epidemiology. We aimed to investigate the incidence and outcomes of SA-AKI, as well as the risk factors for mortality among patients with severe SA-AKI in critically ill patients. METHODS: This secondary multicenter, observational, prospective cohort analysis of sepsis in South Korea evaluated patients aged ≥ 19 years admitted to intensive care units with a diagnosis of sepsis
Objective: There have been no studies on the association between changes in smoking and alcohol consumption or combined changes in smoking and alcohol consumption frequencies and PD risk. To assess the influence of changes in smoking and alcohol consumption on the risk of Parkinson's disease (PD). Methods: National Health Insurance Service (NHIS) database between January 2009 to December 2011 was analyzed. A total of 3,931,741 patients were included. Study participants were followed up for the i
Research Areas
Dive deeper into Seyoung Jung's research on Nubint
Open this lab's papers in the app to read with AI, summarize, and cite in your writing.