Computational approaches for multiscale modeling

Joseph Butner, Prashant Dogra, Vittorio Cristini, Thomas S. Deisboeck, Zhihui Wang

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


Quantitative, predictive multiscale models have shown promise in accurately representing the behavior of complex biological systems across a wide range of spatial and temporal scales based on experimental and clinical data. This allows for data integration, hypothesis generation, and prediction, and has the potential to significantly impact biomedical research. Full characterization of multiscale spatiotemporal processes and the feedback processes between scales is often beyond the capacity of any single modeling method, making advanced multiscale methods necessary to address these challenges. In this chapter, we discuss current advances in the development of multiscale modeling methods and some key successes in multiscale modeling-aided biomedical research.
Original languageEnglish (US)
Title of host publicationEncyclopedia of Cell Biology
EditorsRA Bradshaw, PD Stahl, J Hart
ISBN (Print)9780128216187
StateAccepted/In press - Dec 2022


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