Projects

A comparative effectiveness study on the safety of novel GLP-1 receptor agonists such as semaglutide and tirzepatide in diabetic and non-diabetic, obese patients.

Developing a pipeline to automate real-world evidence generation using agentic AI.

We develop automated medical image analysis platforms (including visual language models).

This study examines whether various medications used during pregnancy exert negative impacts on the fetus, such as birth defects and developmental disorders.

This study investigates whether the effects of psychiatric medications varies depending on the variability of physical indicators, such as physical activity and body weight.

This study evaluates the real-world effectiveness and safety of allergen immunotherapy in patients with asthma and rhinitis.

This study, supported by the Korea ARPA-H research grant, develops an executable ontology for the secure deployment of agent-type AI focused on stroke treatment workflows.

We develop guidelines for the use of RWD in clinical trials, funded by a Korean government grant.