Applications of artificial intelligence in stem cell therapy

Figure 2 Development of artificial intelligence-driven stem cells-based therapeutics. Image, genetic, and patient record data from clinical and experimental sources are collected. The collected data undergo cleaning, normalization, and feature extraction to prepare it for artificial intelligence (AI) model training. Machine learning and deep learning algorithms for analysis are chosen and implemented during AI model construction. AI models are trained with processed data and validated using validation datasets. Predictive analysis uses AI to model diseases, predict stem cell differentiation, and direct experiments. Clinicians use AI-assisted predictions to promote personalized medicine and regenerative therapies. AI: Artificial intelligence.