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MACHINE LEARNING HELPS MODEL HUMAN CELLS

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Looking at human cells in-situ is not easy. The Allen Institute for Cell Science has created a way for computer intelligence to help show them.

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Funded by Microsoft co-founder and billionaire philanthropist Paul Allen, the Allen Institute previously created a large collection of human-induced pluripotent stem cells (hiPSCs), gene-edited with fluorescent tags that illuminate major structures. Scientists took pictures of tens of thousands of these glowing cells and trained two artificial intelligence algorithms to understand them.

The system uses probabilistic models to predict where cell structures are given only the cell membrane and nucleus. This allows the system to create real-time 3D images of cells.

 

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