Large-scale AI framework that models human cell transcriptomes and predicts transcriptomic responses to perturbations using single-cell RNA-seq, spatial transcriptomics, perturb-seq, and lineage-tracing data. Targeted at drug developers and biomedical researchers to enable in-silico prediction of therapeutic outcomes, improve in-vivo success rates, and accelerate discovery of specific, low-toxicity treatments and tissue engineering.