Article

Deep learning predicts tissue outcomes in retinal organoids

2025-02-23

Abstract excerpt

Retinal organoids have become important models for studying development and disease, yet stochastic heterogeneity in the formation of cell types, tissues, and phenotypes remains a major challenge. This limits our ability to precisely experimentally address the early developmental trajectories towards these outcomes. Here, we utilize deep learning to predict the differentiation path and resulting tissues in retinal...

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Literature Corpus work: 3d83cc87-aebc-51e2-b1cc-3bce0b2fc5c6
DOI: 10.1101/2025.02.19.639061

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