Part of Recursion Pharmaceuticals
Recursion's semi-autonomous AI research engine, advancing deep learning for drug discovery and building predictive models of cellular biology.
Transcriptomic perturbation prediction across unseen single and double gene knockdowns and unseen cell lines, driven by gene-gene knowledge graphs.
Cell Painting microscopy foundation model, a channel-agnostic masked autoencoder producing morphological embeddings for zero-shot phenotypic analysis.
Recursion Pharmaceuticals / Valence Labs / University of Manchester
Released November 4, 2024
Cell microscopy foundation model with a 1.9-billion-parameter masked autoencoder producing embeddings that stay consistent across screening batches.
Microscopy foundation model for high-content screening, embedding genome-scale CRISPR knockout and compound perturbations from Cell Painting images.