AI + Genomics for Cancer & Human Disease

We build interpretable AI to turn genomes into mechanisms—and mechanisms into better prevention, diagnosis, and treatment.

1. AI-Driven Precision Treatment. From tumor transcriptomes, we prioritize drug candidates, combinations, and gene targets, with patient-level, explainable predictions.
2. Predictive Biology. Large language models forecast emergent gene/protein traits and interpret variants, linking sequence to mechanism and phenotype.
3. Immune Response Analysis. Single-cell and spatial data map tumor–immune circuits and microenvironment states to reveal biomarkers of response and resistance.

We pair model development with experimental validation and share models, data, and benchmarks to accelerate translation.

Visit TumorAI.org to learn more.