Biomedical Informatics · Real-World Evidence · Digital Health

Real-World Evidence · Digital Health

Real-World Evidence · Digital Health

Digital Health Data Science Laboratory

Digital Health Data Science Laboratory

Digital Health Data Science Laboratory

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We build trustworthy data science to understand, predict, and improve human health across the life course.

We build trustworthy data science to understand, predict, and improve human health across the life course.




We build trustworthy data science to understand, predict, and improve human health across the life course.

Research Areas

Data science for medical and healthcare systems

Data science for medical and healthcare systems

Data science for medical and healthcare systems

Our work spans methods, systems, and applications that turn heterogeneous healthcare data into useful evidence for clinicians, patients, and policy makers.

Our work spans methods, systems, and applications that turn heterogeneous healthcare data into useful evidence for clinicians, patients, and policy makers.

Real-World Evidence

Causal and statistical approaches for observational data, treatment pathways, outcomes, and comparative effectiveness.

Real-World Evidence

Causal and statistical approaches for observational data, treatment pathways, outcomes, and comparative effectiveness.

Digital Health

Data-driven design and assessment of digital health interventions, patient engagement, and monitoring.

Digital Health

Data-driven design and assessment of digital health interventions, patient engagement, and monitoring.

Selected Publications

Recent work in biomedical data science

Recent work in biomedical data science

Recent work in biomedical data science

Clinical Medicine

Forthcoming

Nature Reviews Gastroenterology and Hepatology 2026

Real-World Data

Transitions from Combustible to Noncombustible Tobacco Use and Liver Outcomes in Steatotic Liver Disease

Clinical and Molecular Hepatology 2026

All Publications

https://scholar.google.com/citations?user=oCfJJuMAAAAJ

News and Images

Updates from the laboratory

Updates from the laboratory

Updates from the laboratory

July 2026

[Wenzhou] Overseas Assignment

June 2026

[Cheongju] KOSMI

June 2026

[Seoul] VIPS

June 2026

[Seoul] with Prof. Kim & Prof. Romeo

June 2026

[Jeju] KSDT

MAY 2026

[Seoul] with Ms. Huang

Feburary 2026

[Wenzhou] Visiting Students

Feburary 2026

[Singapore] IHME Workshop

December 2025

[Seoul] ASHLEY with Prof. Tu

December 2025

[Wenzhou] with Prof. Zheng

November 2025

[Seoul] K-CURE Grand Prize

November 2025

[Seoul] K-CURE Grand Prize

October 2025

[Tokyo] APASL-STC

October 2025

[Tokyo] APASL-STC

June 2025

[Jeju] KSDT

June 2025

[Jeju] KSDT

APRIL 2025

[Busan] WONCA

APRIL 2025

[Busan] WONCA

December 2024

[Vietnam] ICICPE

December 2024

[Vietnam] ICICPE

NOVEMBER 2024

[Yeosu] KOSMI

NOVEMBER 2024

[Yeosu] KOSMI

June 2024

[Jeju] KSDT

June 2024

[Jeju] KSDT

Contact

Collaborate on digital health data science

Collaborate on digital health data science

Collaborate on digital health data science

We welcome collaborations with clinicians, biomedical researchers, public health teams, students, and industry partners working toward trustworthy digital health evidence.

We welcome collaborations with clinicians, biomedical researchers, public health teams, students, and industry partners working toward trustworthy digital health evidence.

Email

seogsongjeong@korea.ac.kr

Location

161 Jeongneung-ro, Seongbuk-gu, Korea University Medicine, Seoul, Republic of Korea

Focus

Biomedical informatics, Epidemiology, AI, Digital Health

© 2026 Digital Health Data Science Laboratory

Korea University College of Medicine

Principal Investigator: Seogsong Jeong (정석송), MD, PhD

Department of Biomedical Informatics, Korea University College of Medicine

Research areas: Biomedical Informatics, Health State, Digital Health, Cardiometabolic and Liver Disease

Korea University College of Medicine profile

Principal Investigator: Seogsong Jeong (정석송)

Department of Biomedical Informatics

Korea University College of Medicine

Research areas: Biomedical Informatics, Health State, Digital Health, Cardiometabolic and Liver Disease

Korea University College of Medicine profile