Retreat

WPI-PRIMe holds a PRIMe Retreat once or twice a year.
The PRIMe Retreat is an event that brings together not only PIs but also next-generation researchers and graduate students at the center. In a relaxed atmosphere, the program includes not only research presentations to share basic strategies for the creation of bio-Digital twins, but also educational lectures and participatory workshops to promote the exchange of ideas across different fields.

Retreat | Gallery

Programs at Graduate School

Lecture for graduate students “Artificial Intelligence for Medicine and Life Sciences” (Course Title for Academic Year 2025: Introduction to Human Metaverse Medicine)

In recent years, the field of medicine and healthcare has undergone a profound transformation driven by digitalization. In this evolving landscape, mastery of traditional medical knowledge and skills alone is no longer sufficient; competence in mathematics, data science, and artificial intelligence (AI) has become indispensable.
This lecture is designed to provide a systematic foundation for the integration of medicine and information science. Students will develop the following essential competencies:
　- Gain the importance of mathematical science, data science, and AI
　- Learn how these tools solve medical and healthcare challenges
　- Understand when to use mathematical modeling versus machine learning and AI
　- Explore disease models and patient-specific bio-digital twins
　- Recognize current AI limitations
　- Build awareness of safe and ethical data handling
　- Gain basic programming skills for medical data science

Lecture Schedule (Fall-Winter Term, Fridays 15:00-16:30 specific session dates to be announced)
The University of Osaka Syllabus

Graduate Program for Advanced Interdisciplinary Studies “Artificial Intelligence for Medicine and Life Sciences” (Program Title for Academic Year 2025: Human Metaverse Medicine)

This program requires successful completion of the core course, Artificial Intelligence for Medicine and Life Sciences (Course Title for Academic Year 2025: Introduction to Human Metaverse Medicine) (2 credits), in addition to at least 5 credits of elective courses. Upon completing at least 7 credits, students will receive a certificate of completion.
The elective curriculum encompasses a wide range of courses offered by the Graduate School of Medicine—including medicine, life sciences, biomedical measurement, biomedical informatics, medical statistics, bioinformatics, and bioethics. As of Academic Year 2025, the range of courses available to students in this program has been expanded to include offerings from the Graduate School of Information Science, such as Big Data Engineering, Intelligent Systems, Machine Learning Systems Theory, and Computational Photography.
Through this integrated curriculum, students will develop the ability to advance Human Metaverse Medicine by bridging human organoid biomedical science with information and mathematical sciences. Furthermore, they will develop the ability to situate their work within its ethical, legal, and societal frameworks, thereby cultivating the intellectual breadth and methodological versatility required to extend their research across diverse domains.

Artificial Intelligence for Medicine and Life Sciences| Graduate Program for Advanced Interdisciplinary Studies | The University of Osaka | Institute for Transdisciplinary Graduate Degree Programs (Japanese)