The multifaceted nature of low back pain demands holistic strategies that can tailor medical treatment to the functional-anatomical properties and clinical profiles of each individual patient. We propose to leverage multi-modal health data and harness the power of machine learning to predict individual treatment responses for injection therapy in low back pain patients. In contrast to humans, machine learning algorithms are naturally suited to create actionable decisions while having to integrate heterogeneous sources of data.