Living Maps: Using Spatial Omics to Simulate Cellular Behavior in Silico

Advances in multiplexed imaging and spatial omics now enable high-dimensional, single-cell maps of tissues, but translating these static snapshots into predictive models remains a challenge. In this seminar, I will describe an integrated experimental and computational framework that links spatial imaging with machine learning and multiscale agent-based modeling. Using immune-mediated tissue remodeling and T cell therapies as examples, I will show how spatial omics–informed models connect molecular states to multicellular behavior and therapeutic outcomes. For more information see: Hickey, John W., et al. "Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy." Cell Systems 15.4 (2024): 322-338. https://www.cell.com/cell-systems/fulltext/S2405-4712(24)00089-9 *Contents* 00:00 - Introduction 05:34 - Living Maps: Using Spatial Omics to Simulate Cellular Behavior in Silico 44:08 - Discussion and Questions For a copy of the slides for this video visit: https://drive.google.com/file/d/1J7SNXud-2s6mcRT9X6S-ypErrtAZIJtY/view?usp=sharing Moderator: James A.Glazier If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/