Mechanism-informed models that can simulate counterfactual mental-health trajectories remain scarce in digital phenotyping. Most existing approaches either predict outcomes from sensor-derived data wi...

Early recovery of functioning is critical for favorable outcomes in psychotic and affective disorders. Transdiagnostic brain activity patterns may capture pathways for poor outcomes before clinical ma...

Biological risk signatures could aid the early detection of schizophrenia, but their precision likely depends on the clinical risk definitions they are derived from. Using machine learning, we analyze...