Dana-Farber Cancer Institute

A decoder-only single-cell foundation model that forecasts future single-cell gene expression in cancer evolution from prior cell states, generalizing zero-shot to held-out cancers.

A self-supervised vision foundation model for structural brain MRI that produces general-purpose features adaptable to diverse downstream clinical and neuroscience tasks.

A self-supervised 3D CT foundation model that extracts general-purpose tumor representations for cancer imaging biomarker discovery across diverse downstream tasks.

Transformer-based foundation model pretrained on ~30 million single-cell transcriptomes for context-aware gene network predictions and therapeutic target discovery.