Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine

Figure 1 Current strategies and approaches in regenerative medicine. A: Strategies in regenerative medicines; B: Mesenchymal cell differentiation; C: Non-integrating reprogramming to make induced pluripotent stem cells (iPSCs); D: Artificial intelligence algorithms to assist iPSC identification.

Figure 2 Characteristics and therapeutic potential of mesenchymal stem cells. Sources of mesenchymal stem cells (MSCs) are shown as adipose tissue, umbilical cord, and bone marrow. MSCs are characterized by positive and negative markers and may be differentiated for clinical applications. The immunomodulatory properties of MSCs make them a promising candidate for cell-based therapies. NK cell: Natural killer cell.

Figure 3 Commonly used machine learning and deep learning algorithms.

Figure 4 General schema for artificial intelligence-based prediction models development. CNN: Convolutional neural network.