[1/6] How can we build virtual cell foundation models that adapt to unseen biological contexts? Meet MapPFN, the first prior-data fitted network (PFN) for perturbation prediction. Meta-learned from a synthetic biological prior, it adapts at inference via in-context learning. 🧵