Meet MaxToki: The AI That Predicts How Your Cells Age — and What to Do About It

Researchers introduced MaxToki, a biology foundation model that uses single-cell RNA-seq data to predict future cellular states.

The model was trained in two stages on a 175 million-cell corpus and scaled to 217 million- and 1 billion-parameter versions.

Instead of only classifying present snapshots, MaxToki uses ranked gene-expression inputs to model how cells change over time.

The approach could help explain aging trajectories and age-related diseases such as heart disease, Alzheimer’s disease, and pulmonary fibrosis.