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A research group led by Professor Hong Sung-hoi of the School of Biosystems and Biomedical Sciences at the College of Health Sciences developed a Convolutional Neural Network (CNN) algorithm based on AI deep learning to produce an AI model capable of accurately analyzing the cell state and identifying the presence of mutations using only cell images. The AI model was trained with the minute morphological variations of the stem cells according to culture time and culture media and was able to predict the state of the stem cells, that is their degree of self-renewal or differentiation, at an average accuracy of 90% or more.
