논문: Machine learning approach for predicting dependence-related adverse events using real-world pharmacovigilance data 

논문: Pharmacovigilance investigation on medications with high potentials for substance dependence 

논문: Pharmacovigilance investigation of medications with high risk of dependency using the KAERS database: Focusing on narcotic agents, anxiolytics, anesthetics, and hypnotic sedatives 

논문: Risk of Dementia and Alzheimer's Disease Associated with Antidiabetics: A Bayesian Network Meta-Analysis

Lead investigator Yeo Jin Choi, PharmD, PhD, Department of Pharmacy, College of Pharmacy; Department of Regulatory Science, Graduate School; and Institute of Regulatory Innovation Through Science (IRIS), Kyung Hee University, Seoul, Korea, explains, "As the prevalence of both diabetes and dementia continues to rise each year, and with mounting evidence suggesting a strong correlation between diabetes and dementia, the need for comprehensive research in dementia risk associated with antidiabetic treatment becomes increasingly imperative. Understanding the potential cognitive effects of antidiabetic medications is not only crucial for optimizing patient care but also for informing regulatory decisions and clinical practice guidelines to prioritize patient safety and promote public health.”