The fundamental importance of the proposed project stems from the fact that even in the era of “modern” medicine, low back pain still represents a major medical challenge and a global public health issue. It continues to be treated as a single disease entity despite its heterogeneous nature. Consequently, treatment selection is based upon trial and error, rendering the therapeutic process highly dissatisfying for patients and doctors alike. Moreover, with its tremendous impact on patients’ wellbeing and ability to work, low back pain makes a significant contribution to the economic burden of disease and rising health costs. Our study aims to systematically assess patients with multi-modal measures, incl. lumbar MRI and gait analysis, as a basis for machine learning. The goal is to predict from these structural and functional data whether a given patient will benefit from injection therapy. Our project will lay the foundation for personalized treatment selection for patients suffering from low back pain.