An organoid is a three-dimensional cell culture that replicates the architecture and function of real organs. Organoids are key to developing new therapies and understanding complex diseases such as multiple sclerosis or brain tumors. The reproducible production of suitable organoids is of great importance for clinical research. However, directly applicable methods for analyzing and simulating the growth process of complex brain organoids are not yet available. The "KI-MSO-O" project aims to develop new techniques to better assess the quality and maturity of organoids at an early stage. Novel mathematical modeling and artificial intelligence are used for this purpose. In addition, single cell information, patient data and microscopy images are integrated. The techniques being researched here will be used to specifically grow organoids from patients with certain diseases and compare them with healthy control groups. This will provide better insights into the development and progression of these diseases. The approach promises great progress for personalized medicine.