Predicting individual clinical trajectories of depression with generative embedding

Highlights • Patients with major depressive disorder (MDD) show variable clinical trajectories.• Generative embedding (GE) is used to predict clinical trajectories in MDD patients.• GE classifies patients with chronic depression vs. fast remission with 79% accuracy.• GE provides mechanistic interpretability and outperforms conventional measures.• Proof-of-concept that illustrates the potential of GE for clinical prediction.