Sungjoon Park
Yonsei University · Medicine
About the Lab
Professor Sungjoon Park's research lab specializes in interdisciplinary studies at the intersection of urban design, biomedical data science, and advanced manufacturing. The lab investigates urban spatial configurations and regional color identity using computational methods such as space syntax and NCS color analysis, aiming to inform sustainable urban planning and policy. In parallel, the lab develops bioinformatics tools like CONFIGURE to identify novel regulatory modules in gene expression data, with applications in precision oncology. Additionally, the lab pioneers innovative micro-manufacturing techniques, including magnetic abrasive finishing for micro-scale components, to advance precision engineering and medical device fabrication.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The purpose of this study is to analyze street planning factors and spatial configuration of Design Seoul Street Project and to suggest reference materials related with urban street arrangement and revitalization. In this study, we analyzed 10 case studies of Design Seoul Street Project and, set up the viewpoint of spatial configuration analysis through the related preceding researches as urban marketing, factors planning streets. In addition, we utilize space syntax program for analyzing spatia
We showed that enrichment scores of regulatory modules are useful for differentiating breast cancer subtypes and validated the basal-like type specific regulatory modules by literature surveys. In doing so, we found regulatory module candidates that have not been reported in previous literature. This demonstrates that CONFIGURE can be used to predict novel regulatory markers which can be validated by downstream wet lab experiments. We validated CONFIGURE on the breast cancer RNA-seq dataset in t
The ultimate aim of this paper is the process of how to extract regional main color through systematic and scientific method using Color syntax program. Also, the outcome of this study can be utilized the basic data answering future regional environment arrangement policy. The summary of this study is as follows. 1)The total outcome of color analysis using NCS color palette according to the element forming the image of the district, Youido highlights that the ratio of B, YR, PB categorical color
Data on the impact of arterial stiffness on autonomic function are limited. We sought to investigate whether heart rate recovery (HRR), a predictor of autonomic function, is impaired in patients with increased arterial stiffness. A total of 475 participants (mean age 55.8 ± 11.1 years, 34.3% women) who underwent a treadmill exercise test (TET) for the evaluation of chest pain were retrospectively analyzed. All patients underwent brachial-ankle pulse wave velocity (baPWV) measurement on the same
The purpose of this study is to figure out the needs of main service and facility in developing mixed elderly welfare facility for baby boomers generation. This is to search the effective solution in using mixed elderly welfare facility for baby boomers. This study deals with several cases and functions around mixed elderly welfare facility and the characteristics of baby boomers through the literature survey. This study was conducted in a quantitative research method as a survey of the general
A new polishing technique for three dimensional micro/meso-scale parts is suggested using a micro quill and a magnetic chain structure. The principle of this method is to polish the target surface with the collected magnetic brushes at a micro tool by the non-uniform magnetic field generated around the tool. In a typical magnetic abrasive finishing process magnetic particles and abrasive particles are unbonded each other. But, to finish the three dimensional small parts bonded magnetic abrasive
TEL/ALD/RSV proved to be more efficient than ALD/ATV in lowering blood pressure and reducing LDL-C levels among patients with hypertension and dyslipidemia, with no notable safety concerns. (<i>Curr Ther Res Clin Exp</i>. 2024; XX:XXX-XXX). ClinicalTrials.gov identifier: NCT03860220.
BACKGROUND/AIMS: Epicardial adipose tissue (EAT) shares pathophysiological properties with other visceral fats and potentially triggers local inflammation. However, the association of EAT with cardiovascular disease (CVD) is still debatable. The study aimed to observe the changes and associations in EAT and risk factors over time, as well as to investigate whether EAT was associated with CVD. METHODS: A total of 762 participants from Seoul National University Hospital (SNUH) and SNUH Gangnam Cen
In elderly hypertensive patients, lower SBP targets correlate with improved clinical outcomes, including reduced mortality and cardiovascular events. Nonetheless, the heightened risk of adverse effects underscores the need for careful, individualized treatment strategies. Additional research is warranted to refine these targets and achieve a balance between therapeutic efficacy and safety.
This study suggests the new ultraprecision finishing techniques for micro die and mold parts using magnetic field-assisted polishing. Conventional magnetic abrasives have several disadvantages, which are missing of abrasive particle and inequal mixture between magnetic particle and abrasive particle. Therefore, bonded magnetic abrasive particles are fabricated by several method. For example, plasma melting and direct bonding. Carbonyl iron powder is used as magnetic particle where silicon carbid
BACKGROUND: Platelet reactivity (PR) and clinical risk factors are known to have impact on outcomes in patients receiving percutaneous coronary intervention (PCI). We aimed to assess the interaction of PR and clinical risk assessment using the Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS2P) on adverse clinical outcomes following PCI. METHODS: From the PTRG-DES (Platelet function and Genotype-Related Long-Term Prognosis in Drug-Eluting Stent-Treated Patients With
Abstract High-throughput screens have generated large amounts of data characterizing how thousands of cell lines respond to hundreds of anti-cancer therapies. However, predictive drug response models trained using data from cell lines often fail to translate to clinical applications. Here, we focus on two key issues to improve clinical performance: 1) Transferability: the ability of predictive models to quickly adapt to clinical contexts even with a limited number of samples from patients, and 2
Research Areas
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