Applications of artificial intelligence in stem cell therapy

Figure 3 Representative image of artificial intelligence-supported stem cell treatment. Patient stem cells are isolated. An image of a stem cell is captured with the use of a microscope. Artificial neural networks, genetic algorithms, and Bayesian networks analyze stem cell characteristics. Deep learning, natural language processing, and machine learning predict stem cell morphology and behavior. Stem cell types are classified using convolutional neural networks, support vector machines, and random forests based on this biological data and expression. Stem cells are modified using growth hormones, genes, and mechanical stimulation for clinical use. Therapeutic stem cells are then administered to the patient. AI: Artificial intelligence.