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An AI that can predict cell structures

Fluorescent-labeled cells used to train the models. Image: Allen Institute for Cell Science
Fluorescent-labeled cells used to train neural networks. Image: Allen Institute

New 3D models of living human cells generated by machine-learning algorithms are allowing scientists to understand the structure and organization of a cell's components from simple microscope images.

Why it matters: The tool developed by the Allen Institute for Cell Science could be used to better understand how cancer and other diseases affect cells or how a cell develops and its structure changes — important information for regenerative medicine.