Park, Dae Won

Department of Infectious Diseases, Korea Universit (MD, PhD)

E-Mail

pugae1@korea.ac.kr

Research content

• Clinical utility evaluation based on cohort
• Discovery of new biomarkers
• Feedback on therapeutic candidates

Representative paper

1. Sunad Rangarajan, Nathaniel B Bone, Anna A Zmijewska , Shaoning Jiang , Dae Won Park , Karen Bernard , Morgan L Locy , Saranya Ravi , Jessy Deshane , Roslyn B Mannon , Edward Abraham , Victor Darley-Usmar , Victor J Thannickal , Jaroslaw W Zmijewski 

 Metformin reverses established lung fibrosis in a bleomycin model. Nature Medicine 2018 (24(8): 1121-1127 )




2. Juhyun Song, Dae Won Park, Sungwoo Moon, Han-Jin Cho, Jong Hak Park, Hyeri Seok, Won Seok Choi 

Diagnostic and porgnostic value of interleukin-6, pentraxin 3, and porcalcitonin levels among sepsis and septic shock patients: a prospective controlled study according to the Sepsis-3 definitions. BMC Infectious Diseases 2019 (19(1):968)




3. Seok H, Song J, Jeon JH, Choi HK, Choi WS, Moon S, Park DW.

 Timing of antibiotics in septic patients: a prospective cohort study. Clinical microbiology and Infection 2020 (26(11): 1495-1500 )




4. Jooyun Kim, Dae Won Park

Infectious diseases and biomarker use. J Korean Med Assoc 2023 (66(6): 374-381)




5. Eun-Tae Jeon, Juhyun Song, Dae Won Park, Ki-Sun Lee, Sejoong Ahn, Joo Yeong Kim, Jong-hak Park, Sungwoo Moon, Han-jin Cho

Mortality prediction of patients with sepsis in the emergency department using machine learning models: a retrospective cohort study according to the Sepsis-3 definitions. Signa Vitae 2023 Vol.19,Issue 5,September 2023 pp.112-124