
How can AI and machine learning improve the treatment and prognosis of brain tumors?
My Master’s thesis addresses this question by focusing on the data-driven analysis of meningiomas (brain tumors) using modern machine learning techniques. In cooperation with the University Medical Center Mannheim, clinical patient data are evaluated computationally to identify patterns in the course of the disease and its treatment. The primary focus is on developing predictive models that provide forecasts regarding surgical outcomes, postoperative consequences, and tumor dynamics. Ultimately, this work aims to demonstrate how machine learning and data-driven methods can support translational medicine and personalized patient care









