Deep learning accelerates research on early pregnancies

21 July, 2025

Researchers at King Abdullah University of Science and Technology (KAUST) have announced the development of a new deep learning tool, deepBlastoid, to study models of human embryo development in artificial laboratory conditions. The KAUST scientists showed that deepBlastoid can evaluate images of the models equally to expert scientists but 1000 times faster. The article can be read in Life Medicine

The earliest stages of the human embryo are crucial for understanding fertility, pregnancy complications, and the origins of developmental disorders. However, direct research on human embryos is limited by ethical considerations. 

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