All Competitors

Pan-cancer pretrained diffusion model imputing genome-wide expression from sparse spatial transcriptomics panels, zero-shot and reference-free.

Single-nucleus RNA-seq foundation model built on bidirectional Mamba blocks, reading all 19,306 genes per cell without dimensionality reduction.

Spatial transcriptomics foundation model continually pretrained on 30 million profiles, with a protocol-aware mixture-of-experts decoder.

Epigenome imputation transformer predicting raw read counts with calibrated confidence intervals, and denoising low-quality experiments in place.

Wearable sensor foundation model pretrained on heart rate, accelerometer, skin temperature and other channels for activity recognition and imputation.

500M-parameter transformer model pretrained on intracranial SEEG recordings for neural signal forecasting, imputation, and seizure detection.