Why AI Needed Perturbation Data to Model Cells

This episode explores why massive observational biology datasets hit an information gap, and how causal CRISPR perturbation data helped Xaira Therapeutics break through the scaling wall. It also dives into the shift from treating cells like sentences to using a diffusion-based model that can predict gene expression changes across human cells. Show Notes X-Cell: Scaling Causal Perturbation Prediction Across ...: https://www.biorxiv.org/content/10.64898/2026.03.18.712807v1 X-Cell: Scaling Causal Perturbation Prediction Across ...: https://www.cdn.xaira.com/papers/X_CELL_V1_0316_final.pdf