Researchers developed a nondestructive imaging and machine learning platform that forecasts the efficiency of induced pluripotent stem cells differentiating into muscle stem cells. Using morphological features analyzed through advanced AI algorithms, the system enables early prediction of differentiation yields without damaging the cells. This tool, developed by a team including Associate Professor Hidetoshi Sakurai, may accelerate muscle stem cell research and therapeutic development by optimizing cell manufacturing processes.