Machine Learning Classification of Embryonic Cell States

Embryology › AI Early Embryo Development Research

Machine Learning Classification of Embryonic Cell States

Interns will develop and train machine learning models to classify different cell states during early embryonic development using gene expression data and imaging features. They will work with datasets from blastocyst and gastrulation stages, implementing neural networks and decision trees to predict developmental trajectories and identify critical developmental markers.

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