Abstract: A system and process use artificial intelligence to evaluate the toxicity of drugs on cells. In some embodiments, a convolutional neural network is trained to identify features in cells and thereafter identify when structural changes in cells are signs of damage from exposure to a drug. Some embodiments use a 2-class deep neural network, comparing drug-treated cells to controls, to learn which images may show signs of toxicity as a result of the drug. In some applications, the system may capture images from a time-lapse experiment to determine from the cell cultures how a drug affects a cell type over time.