AI identifies developmental defects and drug mechanisms in embryos

Müller, P

doi:10.1038/s41592-023-01872-5

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AI identifies developmental defects and drug mechanisms in embryos

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Müller, P
Müller Group, Friedrich Miescher Laboratory, Max Planck Society;

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引用

Müller, P. (2023). AI identifies developmental defects and drug mechanisms in embryos. Nature Methods, 20(6), 793-794. doi:10.1038/s41592-023-01872-5.

引用: https://hdl.handle.net/21.11116/0000-000F-7703-8

要旨

We developed EmbryoNet, a deep learning tool that can automatically identify and classify developmental defects caused by perturbations of signaling pathways in vertebrate embryos. The tool could help to elucidate the mechanisms of action of pharmaceuticals, potentially transforming the drug discovery process.