Jiwoo Park
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jiwoo Park has a total of 22 co-authors. Here are the top co-authors by number of shared publications:
- Whanhee Lee
School of Health Policy and Management, College of Health Science, Korea University , Seoul
3 shared publications Cinoo Kang
Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea
1 shared publication- Dakyeon Lee
School of Biomedical Convergence Engineering Pusan National University Yangsan 50612 Republic of Korea
1 shared publication Harin Min
Graduate School of Data Science, Pusan National University, Busan, South Korea
1 shared publication- Hyejung Lee
Department of Information Convergence Engineering, Pusan National University, Yangsan, South Korea
1 shared publication Hyewon Yoon
Graduate School of Data Science, Pusan National University, Busan, South Korea
1 shared publication
Latest Publications
- Open Access
- 20 April 2026
- Published by Elsevier in The Journal of Climate Change and Health
- Vol. 29, 100673
Association between extreme temperatures and out-of-hospital cardiac arrest: A time-stratified case-crossover study in Korea
- 20 April 2026
- Published by Elsevier in The Journal of Climate Change and Health
- Vol. 29, 100673
Open AccessAssociation between extreme temperatures and out-of-hospital cardiac arrest: A time-stratified case-crossover study in Korea
- 30 November 2024
- Published by Springer Nature in Current Osteoporosis Reports
- Vol. 23 (1) , 1-10
Association Between Air Pollution and Osteoporosis with High-Risk Populations: A Narrative Review
Purpose of Review Air pollution has been raised as a novel risk factor for osteoporosis, which impose a huge burden on both individuals and society. Thus, summarizing and discussing previous results on the association between ambient air pollution and osteoporosis can be informative in synthesizing the current evidence and improving relevant action plans. Recent findings Recent studies reported that long-term exposure to ambient air pollution is associated with an increased risk of osteoporosis and related outcomes; however, the studied populations, air pollutants, areas, and results on high-risk populations are heterogeneous. Among air pollutants, long-term exposure to PM2.5 showed an association with osteoporosis or osteoporosis-related fracture in general. Summary Recent scientific evidence indicates that ambient air pollution is a potential risk factor for osteoporosis and related outcomes. Further research is warranted on how air pollution impacts these outcomes including for high-risk populations with consistent effect modifiers, and analytic methodologies.
- 30 November 2024
- Published by Springer Nature in Current Osteoporosis Reports
- Vol. 23 (1) , 1-10
Association Between Air Pollution and Osteoporosis with High-Risk Populations: A Narrative Review
Purpose of Review Air pollution has been raised as a novel risk factor for osteoporosis, which impose a huge burden on both individuals and society. Thus, summarizing and discussing previous results on the association between ambient air pollution and osteoporosis can be informative in synthesizing the current evidence and improving relevant action plans. Recent findings Recent studies reported that long-term exposure to ambient air pollution is associated with an increased risk of osteoporosis and related outcomes; however, the studied populations, air pollutants, areas, and results on high-risk populations are heterogeneous. Among air pollutants, long-term exposure to PM2.5 showed an association with osteoporosis or osteoporosis-related fracture in general. Summary Recent scientific evidence indicates that ambient air pollution is a potential risk factor for osteoporosis and related outcomes. Further research is warranted on how air pollution impacts these outcomes including for high-risk populations with consistent effect modifiers, and analytic methodologies.
- 1 November 2024
- Published by Elsevier in Asian Journal of Psychiatry
- Vol. 102, 104299
Severe suicide attempts, day of the week, and holidays in South Korea: A nationwide case time series study
- 1 November 2024
- Published by Elsevier in Asian Journal of Psychiatry
- Vol. 102, 104299
Severe suicide attempts, day of the week, and holidays in South Korea: A nationwide case time series study
- Open Access
- 12 October 2023
- Published by American Chemical Society (ACS) in ChemRxiv
Systematic Evolution of High-affinity ssDNA Sequence to Carbon Nanotube
Single-walled carbon nanotubes (SWCNTs) have gained significant interest for their potential in biomedicine and nanoelectronics; particularly, the functionalization of SWCNTs with single-stranded DNA (ssDNA) enables precise control of SWCNT alignment and the development of optical and electronic biosensors. Our study addresses gaps in understanding by employing high-throughput systematic evolution, enriching high-affinity ssDNA sequences from a vast random library. We identify specific base compositions and patterns that govern the binding affinity between ssDNA and SWCNTs. Molecular dynamics simulation validates the stable ssDNA conformation on SWCNT and reveal the pivotal role of hydrogen bonds in this interaction. Additionally, we demonstrate machine learning's capacity to accurately distinguish high-affinity ssDNA sequences, providing an accessible model on a dedicated webpage (http://service.k-medai.com/ssdna4cnt). These findings open new avenues for high-affinity ssDNA-SWCNT constructs for enduring and sensitive molecular detection across diverse scientific disciplines.
- 12 October 2023
- Published by American Chemical Society (ACS) in ChemRxiv
Open AccessSystematic Evolution of High-affinity ssDNA Sequence to Carbon Nanotube
Single-walled carbon nanotubes (SWCNTs) have gained significant interest for their potential in biomedicine and nanoelectronics; particularly, the functionalization of SWCNTs with single-stranded DNA (ssDNA) enables precise control of SWCNT alignment and the development of optical and electronic biosensors. Our study addresses gaps in understanding by employing high-throughput systematic evolution, enriching high-affinity ssDNA sequences from a vast random library. We identify specific base compositions and patterns that govern the binding affinity between ssDNA and SWCNTs. Molecular dynamics simulation validates the stable ssDNA conformation on SWCNT and reveal the pivotal role of hydrogen bonds in this interaction. Additionally, we demonstrate machine learning's capacity to accurately distinguish high-affinity ssDNA sequences, providing an accessible model on a dedicated webpage (http://service.k-medai.com/ssdna4cnt). These findings open new avenues for high-affinity ssDNA-SWCNT constructs for enduring and sensitive molecular detection across diverse scientific disciplines.