Session Details
[S50]Application of AI and Data Science, and Pharmacy Education to Survive in the Era of Medical DX
Sat. Mar 29, 2025 3:15 PM - 4:45 PM JST
Sat. Mar 29, 2025 6:15 AM - 7:45 AM UTC
Sat. Mar 29, 2025 6:15 AM - 7:45 AM UTC
Room 16 (MARINE MESSE FUKUOKA Hall B: Conference Room1-2 [2F])
Organizer: Tachi Tomoya (Grad. Sch. Phar., Nagoya City Univ.), Yoshihiro Noguchi (Gifu Pharm. Univ.)
In Japan, educational reforms utilizing AI and data science aimed at realizing Society 5.0 are underway. In healthcare, there is a need to widely utilize AI and data science to train pharmacists and pharmaceutical researchers, enabling them to leverage digital transformation (DX) to discover, develop, evaluate, and effectively use pharmaceuticals, thereby improving public health and providing seamless, high-quality healthcare. Currently, compared with other countries, few educational institutions in Japan offer systematic training in the knowledge and skills required to produce competent data scientists, and it is unclear whether training programs are sufficiently aligned with industry needs, particularly for data scientists who can link research in healthcare to social implementation. Against this backdrop, developing infrastructure to train data scientists capable of leading the medical DX era is urgent. In this symposium, pioneering researchers engaged in medical AI applications and healthcare data science education and research will discuss their current efforts.
オーガナイザー挨拶:舘 知也(名市大院薬)、野口 義紘(岐阜薬大)
[S50-1]Current Status and Prospects for AI and Data Science Education in Pharmacy
○Nobuyuki Doi1 (1. Fac. Pharm., Takasaki Univ. Health Welfare)
[S50-2]Novel Approaches to Pharmaceutical Data Science Education Using Large Language Models: A Case Study of Large-Scale Adverse Event Database Analysis
○Yoshihiro Uesawa1 (1. Meiji Pharm. Univ.)
[S50-3]Mobile health research and online digital transformation doctoral education for working professionals
○Kota Kodama1,2,3 (1. Medical Data Science Lab., Hoshi Univ., 2. Center for Research and Education on Drug Discovery, Fac. Pharm. Sci., Hokkaido Univ., 3. OIC Research Institute, Ritsumeikan Univ.)
[S50-4]Studies using individual case safety report (ICSR) Databases and their limitations
○Yoshihiro Noguchi1 (1. Gifu Pharm. Univ.)