Abstract: The present disclosure provides automated methods and systems for implementing a pipeline involving the training and deployment of a predictive model for predicting cellular diseased state (e.g., neurodegenerative disease state such as presence or absence of Parkinson's Disease). Such a predictive model distinguishes between morphological cellular phenotypes e.g., morphological cellular phenotypes elucidated using Cell Paint, exhibited by cells of different diseased states.