Our newly released AI model, TranscriptFormer, brings together AI researchers, engineers and computational biologists to tackle one of the biggest challenges in biology – understanding the complexity of cells. We’ve built an AI model trained on 112 million cells, and that diverse and complex training data means it can pick up patterns of gene expression that represent different types of cells, including those indicative of disease.
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