News

Welcome from the Population Health Data Center (PHDc) W […]

Congratulations Professor Edward Chia-Cheng Lai for receiving the 2024 National Science and Technology Council -Outstanding Research Award in Taiwan.

In a recent article co-authored by PHD center members: Daniel Hsiang-Te Tsai, Albert Tzu-Ming Chuang, Kuan-Hung Liu, Shih-Chieh Shao, and Edward Chia-Cheng Lai, they investigated the association between SGLT2 inhibitors and biochemical abnormalities related to CKD-MBD.

The study found that the use of SGLT2 inhibitors was associated with a lower incidence of CKD-MBD-related biochemical abnormalities compared to GLP-1 receptor agonists. These findings suggest that SGLT2 inhibitors may be considered to reduce the risk of CKD-MBD in patients with type 2 diabetes mellitus and stage 1–3 CKD.

Congratulations to our PhD candidates, Daniel Hsiang-Te Tsai and Chris Tzu-Ting Su, for presenting their research at NCKU Research Day and earning 1st and 2nd place in the Big Data category!

Our collaborative discussion with Dr. Ritchey to explore the framework for building the OCEAN platform. We were also happy to host her for an inspiring lecture, attended by faculty and members from the School of Pharmacy, School of Public Health, NCKU Hospital, and the College of Medicine. Her insights into epidemiology and the evolution of real-world evidence were truly invaluable.

We are thrilled to unveil OCEAN, Open Causal Effect Analysis Network, a groundbreaking platform revolutionizing causal inference and real-world evidence in healthcare research.

2030 Cross-Generation Young Scholars Program Grant

Title of study: Association between Anticholinergic burden and risk of Fall and Fracture: Case-Case-Time-Control Study.

Congratulations to PhD candidate Chris Tzu-Ting Su for Winning the Stanley A. Edlavitch Award at the 40th ISPE Annual Meeting!
Title of study: Risk of out-of-hospital cardiac arrest (OHCA) and anticholinergic burden in Taiwan: a case-crossover and case-case-time-control study

Congratulations to Research Fellow Michael Chun-Yuan Cheng for Winning the Most Highly Rated Methods Award at the 40th ISPE Annual Meeting
Title of study: Immortal bias from different lengths of grace period in a clone-censor-weight design: a simulation study