Speakers
Description
Mathematical modeling has long played a critical role in advancing our understanding of biological systems and disease processes, spanning scales from molecular interactions to population-level dynamics. These approaches provide a principled framework for uncovering mechanisms, integrating heterogeneous data, and generating predictive insight. Recent advances in computational power, high-throughput sequencing, advanced imaging, electronic health records, and artificial intelligence have created unprecedented opportunities for mathematical and computational modeling to fundamentally reshape biomedical research.
This minisymposium brings together applied mathematicians and computational scientists working on diverse forms of digital twins, highlighting both methodological innovations and novel biomedical applications. Our objective is to catalyze new directions in mathematical biology that address pressing, real-world challenges requiring integrative and cross-disciplinary approaches. Through structured presentations and interactive discussion, the minisymposium aims to promote a cultural shift toward deeper, more systematic integration of mathematics into biomedical research and clinical practice.
