PhD student
School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
Centre for Neonatal and Paediatric Infection, Taiwan (Republic of China)
Daniel HT Tsai is a clinical pharmacist with a master's degree in pharmacoepidemiology. He specialises in using big data analysis to evaluate the safety, effectiveness, and potential factors associated with medications. His expertise includes using claims databases to assess rare neurological diseases and integrating electronic health records for validation. In addition, he is also actively involved in the development of the BESTMED project, focusing on the intersection of AI and geriatric medicine. Through this project, he aims to leverage AI techniques to enhance healthcare delivery and improve outcomes for older patients.