A New Wave of Mathematical Modeling in Medicine and Pharmacy

Organizers:

Sungrim Seirin-Lee (Kyoto University/Graduate School of Medicine), Jaekyoung Kim (KAIST), So Miyoshi (Pfizer)

Description:

Another new wave is transforming the landscape of mathematical biology: its full-scale integration into medicine and pharmacy. The time has come for mathematical research, previously focused on theoretical studies, to make significant strides toward practical applications in collaboration with medical doctors and pharmaceutical researchers. This new paradigm aims to directly connect mathematical modeling to real-world treatment, helping patients in the present rather than only laying the groundwork for future possibilities. As this shift takes place, the role of mathematical approaches is becoming increasingly diverse. The complexities of modern medicine and pharmacy demand that mathematical models not only tackle theoretical challenges but also adapt to the nuances of clinical practice and drug development. This requires integrating multiple perspectives, including data-driven methods, predictive modeling, and tools for interpreting biological systems. Mathematics is no longer an auxiliary discipline-it is evolving into a cornerstone of innovation in medical and pharmaceutical research. Through this initiative, we aim to share cutting-edge developments in mathematical medicine and pharmacy, focusing on transformative approaches that link data, models, and real-world implementation. This mini-symposium represents an opportunity to rethink the possibilities of mathematical modeling and to explore its potential for creating tangible solutions in medicine and drug discovery.

Diversity Statement:

**Dear Organizers, We submitted the proposal by the previous deadline but have updated the speaker list and presentation order. Please discard the old version and review this updated version for evaluation.** Our symposium features a diverse lineup of speakers from 4 different countries, with 1/3 of organizers and 2/8 of speakers being female. Additionally, it uniquely integrates academia (5/8) and industry (3/8), fostering interdisciplinary collaboration.