AI-driven Discovery of Morphomolecular Signatures in Toxicology
Guillaume Jaume, Thomas Peeters, Andrew H. Song, Rowland W. Pettit, Drew F. K. Williamson, Lukas Oldenburg, Anurag Jayant Vaidya, Simone de Brot, Richard J. Chen, Jean‐Philippe Thiran, Long P. Le, Georg Kurt Gerber, Faisal Mahmood
This paper introduces GEESE, an AI model that imputes morphomolecular signatures in toxicology data, linking gene expression changes to drug-induced liver injuries.
bioRxiv · Jul 19, 2024 · PreprintBioinformatics