Pushing Multicellular Living Systems to Extreme: Reality and Virtual world

Multicellular tissues are sculpted by the spatial and temporal coordination of cells and their interactions. Yet, the organizational principles that govern these events, and their disruption in disease, remain poorly understood. In this talk, I will first discuss our recent experimental work investigating multicellular dynamic organization in several physiologically relevant systems, including cells on engineered curved surfaces, growing human lung alveolospheres, and mouse embryos. Next, I will present our vision for using deep learning to predictively model multicellular developmental processes. I will introduce our recently developed geometric deep-learning method, MultiCell, which can predict single-cell behaviors (neighbor swopping, division, etc.) 30 minutes into the future at single-cell resolution during embryogenesis.