Researchers are utilizing machine learning to predict various processes and morphometric features, including those related to watersheds, disease progression, and brain function. The approach is being applied in multiple fields, with studies examining its use in analyzing cellular features, predicting flood hazards, and inferring neurocognition. The use of machine learning and morphometric analysis is being explored for its potential to provide insights and make predictions in a range of complex systems.