The objective of this project is to use Machine Learning and AI to create a human cancer proliferation and progression model for glioblastoma. To create the model, cerebral organoids cultivated from human induced pluripotent stem cells were cocultured with fluorescent reporter transduced glioma stem cell spheroids. After a set period of time, the organoid models were fixed, stained and cleared for imaging via light sheet microscopy. We wish to quantify the infiltration, migration and proliferation of said cancer cells within the organoid model over time in order to relate patient-derived cancer cells back to patient progression.