State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

A cell model that replicates the structure and function of the human intestine has been developed, creating an evaluation platform capable of more accurately predicting adverse effects of new drugs.

“Hey model, if I prompt you with the marker genes for a cell type, can you complete the transcription factors that you believe would be highly expressed with expression of these genes?” posed ...