Topic: Metaverse-enabled
Precision Health
Speaker: Tony
Hsiu-Hsi Chen, PhD. Distinguished Professor, Institute of Health Data Analytics
and Statistics, National Taiwan University
Time: November
25, 2025 (Tuesday), 12:10 – 14:00 p.m.
Venue: The
Management Building, 11F, AI Lecture Hall or Livestreaming https://reurl.cc/oKx6Dg
Registration: https://forms.office.com/r/nBdAaDsgsZ or scan QR code on
poster
About the Speaker:
Prof. Hsiu-Hsi Chen specializes in
evaluating population-based cancer screening and vaccination programs using
advanced statistical models. His work addresses complex issues and develops
health economic decision models. Key publications include studies on gastric,
colorectal, breast, and oral cancer screening in top journals like JAMA and
Gut. He has contributed significantly to stochastic process methods in cancer
screening evaluation, published in leading statistics journals. Since 2004, he
has chaired the International Asian Cancer Screening Conference Network and
collaborated internationally, earning the Finland Distinguished Professor
award. Prof. Chen has published over 460 peer-reviewed articles by 2025.
Abstract:
Metaverse-enabled Precision Health combines
AI, digital twin technology, and immersive AR/MR to create a precision
screening and prevention system across diseases. For example, COVID-19 digital
twins simulate infection dynamics for real-time outbreak prediction and
resource optimization. In chronic disease, hypertension digital twins integrate
monitoring and lifestyle data for personalized risk and prevention. Cancer
models use AI to analyze imaging and genetics, improving early detection and
screening schedules. This approach enables dynamic, personalized health
management by linking predictive modeling with clinical and public health
settings, advancing P4 medicine and fostering an integrated digital health
ecosystem for precision prevention.
Organizers: Graduate Institute of Health Data Science
※ Registration needed.