Researchers have developed a method for predicting the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning. This approach appears to be non-destructive, allowing for the assessment of cells without harming them. Similar techniques using imaging and machine learning are also being explored for other applications, including the analysis of biochar, deer antlers, and liver organoids.