Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors

Nature Machine Intelligence, Published online: 16 March 2026; doi:10.1038/s42256-026-01202-2

Alsulami et al. present PrePR-CT, a computational approach that predicts how different cell types respond to drug-like compounds using limited data. By integrating biological networks with machine learning, it improves accuracy, interpretability and efficiency in early drug discovery.